Triple

T9801840
Position Surface form Disambiguated ID Type / Status
Subject Todd Farmer E237855 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Trick
Trick is a 1999 American romantic comedy film centered on a gay aspiring composer and a go-go dancer whose attempts at a one-night stand are repeatedly thwarted by a series of comic obstacles.
 E821742 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: Trick | Statement: [Todd Farmer, wroteScreenplayFor, Trick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trick
Context triple: [Todd Farmer, wroteScreenplayFor, Trick]
  • A. Trick
    Trick is a minor character in the "Arkangel" episode of the anthology television series Black Mirror.
  • B. Trick Trick
    Trick Trick is a Detroit-based rapper, producer, and hip-hop figure known for his gritty street anthems and collaborations with major artists like Eminem.
  • C. The Trick
    The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
  • D. Trick Me
    "Trick Me" is a 2004 R&B and reggae-influenced single by American singer Kelis, known for its anti-violence message and international chart success.
  • E. Trikken
    Trikken is the tram system serving Oslo, Norway, forming a key part of the city's public transportation network.
  • 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: Trick
Triple: [Todd Farmer, wroteScreenplayFor, Trick]
Generated description
Trick is a 1999 American romantic comedy film centered on a gay aspiring composer and a go-go dancer whose attempts at a one-night stand are repeatedly thwarted by a series of comic obstacles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trick
Target entity description: Trick is a 1999 American romantic comedy film centered on a gay aspiring composer and a go-go dancer whose attempts at a one-night stand are repeatedly thwarted by a series of comic obstacles.
  • A. Trick
    Trick is a minor character in the "Arkangel" episode of the anthology television series Black Mirror.
  • B. Trick Trick
    Trick Trick is a Detroit-based rapper, producer, and hip-hop figure known for his gritty street anthems and collaborations with major artists like Eminem.
  • C. The Trick
    The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
  • D. Trick Me
    "Trick Me" is a 2004 R&B and reggae-influenced single by American singer Kelis, known for its anti-violence message and international chart success.
  • E. Trikken
    Trikken is the tram system serving Oslo, Norway, forming a key part of the city's public transportation network.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62b41048190bcef70a7591830c6 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44edac48190a44fdfb858d0dbba completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c50af000819087d643cc41a6fcc8 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5d39b288190b276371591a86399 completed April 5, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:29 p.m.