Triple

T3567485
Position Surface form Disambiguated ID Type / Status
Subject Bridget Fonda E75484 entity
Predicate notableWork P4 FINISHED
Object Shag
Shag is a 1989 coming-of-age comedy film set in the early 1960s that follows a group of Southern teenage girls on a rebellious beach weekend in Myrtle Beach.
 E369792 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: Shag | Statement: [Bridget Fonda, notableWork, Shag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shag
Context triple: [Bridget Fonda, notableWork, Shag]
  • A. Shag
    Shag is the stage name used by British singer, songwriter, and record producer Jonathan King.
  • B. The Shag
    The Shag is a swing-style partner dance that originated in the Carolina beach communities and is closely associated with beach music culture.
  • C. Heebie Jeebies
    "Heebie Jeebies" is a 1926 jazz recording by Louis Armstrong and his Hot Five, famous for popularizing scat singing in mainstream jazz.
  • D. Swankie
    Swankie is a real-life modern nomad who appears as herself in the film "Nomadland," representing the van-dwelling community.
  • E. Rags
    Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
  • 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: Shag
Triple: [Bridget Fonda, notableWork, Shag]
Generated description
Shag is a 1989 coming-of-age comedy film set in the early 1960s that follows a group of Southern teenage girls on a rebellious beach weekend in Myrtle Beach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shag
Target entity description: Shag is a 1989 coming-of-age comedy film set in the early 1960s that follows a group of Southern teenage girls on a rebellious beach weekend in Myrtle Beach.
  • A. Shag
    Shag is the stage name used by British singer, songwriter, and record producer Jonathan King.
  • B. The Shag
    The Shag is a swing-style partner dance that originated in the Carolina beach communities and is closely associated with beach music culture.
  • C. Heebie Jeebies
    "Heebie Jeebies" is a 1926 jazz recording by Louis Armstrong and his Hot Five, famous for popularizing scat singing in mainstream jazz.
  • D. Swankie
    Swankie is a real-life modern nomad who appears as herself in the film "Nomadland," representing the van-dwelling community.
  • E. Rags
    Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ab51d881908f004fae47ab09d9 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbb01d108190bd098c86b0180b78 completed March 13, 2026, 7:24 a.m.
NEDg Description generation batch_69b3bc2f3c1c8190906e34e8c70287cb completed March 13, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69b3f5b2fdcc8190842d2d7bd09c65c4 completed March 13, 2026, 11:32 a.m.
Created at: March 8, 2026, 3:21 p.m.