Triple

T1280868
Position Surface form Disambiguated ID Type / Status
Subject Max Shulman E27320 entity
Predicate notableWork P4 FINISHED
Object The Many Loves of Dobie Gillis (television series, creator)
The Many Loves of Dobie Gillis is an American sitcom that follows the romantic misadventures of a daydreaming teenager, Dobie Gillis, and is notable for its witty, character-driven humor and early portrayal of beatnik culture.
 E146162 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: The Many Loves of Dobie Gillis (television series, creator) | Statement: [Max Shulman, notableWork, The Many Loves of Dobie Gillis (television series, creator)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Many Loves of Dobie Gillis (television series, creator)
Context triple: [Max Shulman, notableWork, The Many Loves of Dobie Gillis (television series, creator)]
  • A. Rowan & Martin's Laugh-In
    Rowan & Martin's Laugh-In was a groundbreaking American sketch comedy television series from the late 1960s and early 1970s, known for its rapid-fire jokes, political satire, and psychedelic visual style.
  • B. I Love Lucy
    I Love Lucy is a pioneering American television sitcom starring Lucille Ball that became one of the most influential and beloved shows in TV history.
  • C. Laverne & Shirley
    Laverne & Shirley is an American sitcom that follows the comedic misadventures of two single women working in a Milwaukee brewery in the 1950s and 1960s.
  • D. Maude
    Maude is a 1970s American sitcom created by Norman Lear that follows the outspoken, liberal Maude Findlay and is known for tackling controversial social and political issues with sharp humor.
  • E. The Jack Benny Program
    The Jack Benny Program was a popular American radio and television comedy series starring comedian Jack Benny, known for its running gags, character-driven humor, and influential role in early broadcast entertainment.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Many Loves of Dobie Gillis (television series, creator)
Triple: [Max Shulman, notableWork, The Many Loves of Dobie Gillis (television series, creator)]
Generated description
The Many Loves of Dobie Gillis is an American sitcom that follows the romantic misadventures of a daydreaming teenager, Dobie Gillis, and is notable for its witty, character-driven humor and early portrayal of beatnik culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Many Loves of Dobie Gillis (television series, creator)
Target entity description: The Many Loves of Dobie Gillis is an American sitcom that follows the romantic misadventures of a daydreaming teenager, Dobie Gillis, and is notable for its witty, character-driven humor and early portrayal of beatnik culture.
  • A. Rowan & Martin's Laugh-In
    Rowan & Martin's Laugh-In was a groundbreaking American sketch comedy television series from the late 1960s and early 1970s, known for its rapid-fire jokes, political satire, and psychedelic visual style.
  • B. I Love Lucy
    I Love Lucy is a pioneering American television sitcom starring Lucille Ball that became one of the most influential and beloved shows in TV history.
  • C. Laverne & Shirley
    Laverne & Shirley is an American sitcom that follows the comedic misadventures of two single women working in a Milwaukee brewery in the 1950s and 1960s.
  • D. Maude
    Maude is a 1970s American sitcom created by Norman Lear that follows the outspoken, liberal Maude Findlay and is known for tackling controversial social and political issues with sharp humor.
  • E. The Jack Benny Program
    The Jack Benny Program was a popular American radio and television comedy series starring comedian Jack Benny, known for its running gags, character-driven humor, and influential role in early broadcast entertainment.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c094eb4881909a33061339f91190 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2fb746881909ac7a8dd672fc939 completed March 7, 2026, 10:13 p.m.
NEDg Description generation batch_69aca3752a3c81908bd6d9744ad5f5a2 completed March 7, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69aca3e44bf481908c5726adddc4b428 completed March 7, 2026, 10:17 p.m.
Created at: March 1, 2026, 7:50 p.m.