Triple

T12427013
Position Surface form Disambiguated ID Type / Status
Subject Noah Emmerich E296923 entity
Predicate notableWork P4 FINISHED
Object White Collar E331094 NE FINISHED

How this triple was built (2 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: White Collar | Statement: [Noah Emmerich, notableWork, White Collar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Collar
Context triple: [Noah Emmerich, notableWork, White Collar]
  • A. White Collar chosen
    White Collar is a crime drama television series that follows the unlikely partnership between a charming con artist and an FBI agent as they solve white-collar crimes in New York City.
  • B. The White Collar
    The White Collar is a notable novel by Georgian writer Mikheil Javakhishvili, recognized for its critical portrayal of social and moral issues in early 20th-century Georgian society.
  • C. Lie to Me
    Lie to Me is an American crime drama television series centered on a deception expert who assists law enforcement by analyzing facial expressions and body language to detect lies.
  • D. Lie to Me
    Lie to Me is a blues-rock album by American guitarist and singer Jonny Lang that helped establish him as a prominent young artist in the genre.
  • E. Body of Proof
    Body of Proof is an American television drama series that follows a brilliant but troubled medical examiner who uses her forensic skills to solve complex crimes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ccda08190be2ff1739c1c6855 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63499061881908d25af7c3474f774 completed May 2, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:55 p.m.