Triple

T5550507
Position Surface form Disambiguated ID Type / Status
Subject Matt Bomer E145513 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: [Matt Bomer, notableWork, White Collar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Collar
Context triple: [Matt Bomer, 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. 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.
  • E. How to Get Away with Murder
    How to Get Away with Murder is a legal thriller television series centered on a brilliant but morally ambiguous law professor and her students who become entangled in a complex murder plot.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe2aef481909944bc582c1f67a4 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0283101dc8190a52ef2edbb523e78 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.