Triple

T483948
Position Surface form Disambiguated ID Type / Status
Subject Bob Newhart E9831 entity
Predicate notableWork P4 FINISHED
Object Elf
Elf is a popular 2003 Christmas comedy film starring Will Ferrell as a human raised by elves who travels to New York City to find his real father.
 E60344 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: Elf | Statement: [Bob Newhart, notableWork, Elf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elf
Context triple: [Bob Newhart, notableWork, Elf]
  • A. Gil
    Gil is a common Spanish surname borne by numerous individuals across various fields, including sports, arts, and public life.
  • B. Griffin
    Griffin is the fictional surname of the central family in the animated television series "Family Guy," most notably borne by the character Peter Griffin.
  • C. El
    El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
  • D. Garth
    Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
  • E. Eidolon
    Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
  • 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: Elf
Triple: [Bob Newhart, notableWork, Elf]
Generated description
Elf is a popular 2003 Christmas comedy film starring Will Ferrell as a human raised by elves who travels to New York City to find his real father.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elf
Target entity description: Elf is a popular 2003 Christmas comedy film starring Will Ferrell as a human raised by elves who travels to New York City to find his real father.
  • A. Gil
    Gil is a common Spanish surname borne by numerous individuals across various fields, including sports, arts, and public life.
  • B. Griffin
    Griffin is the fictional surname of the central family in the animated television series "Family Guy," most notably borne by the character Peter Griffin.
  • C. El
    El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
  • D. Garth
    Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
  • E. Eidolon
    Eidolon is an online classics journal and magazine that presents accessible, socially engaged writing on the ancient world for a broad contemporary audience.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0ba310c81909645ef7e8a20b52f completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a471205b9081908e75db702e9b3530 completed March 1, 2026, 5:02 p.m.
NEDg Description generation batch_69a47180628c8190b801210ec5edf071 completed March 1, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_69a4721291a08190bc0b6f3aaadf8b71 completed March 1, 2026, 5:06 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.