Triple

T4559597
Position Surface form Disambiguated ID Type / Status
Subject Will McAvoy E120559 entity
Predicate hasColleague P398 FINISHED
Object Jim Harper E452229 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: Jim Harper | Statement: [Will McAvoy, hasColleague, Jim Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Harper
Context triple: [Will McAvoy, hasColleague, Jim Harper]
  • A. Jim Harper chosen
    Jim Harper is a principled and idealistic senior producer and reporter on the HBO drama series "The Newsroom," known for his integrity, journalistic rigor, and complicated romantic entanglements.
  • B. Joe Harper
    Joe Harper is a minor character in Mark Twain's classic novel "The Adventures of Tom Sawyer," known as one of Tom's close friends and fellow mischief-makers in the fictional town of St. Petersburg.
  • C. John Harper
    John Harper is a business leader known for helping establish the influential CEO-led association Business Roundtable, which advocates for pro-business public policies in the United States.
  • D. Brian Rogers
    Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
  • E. John Wood
    John Wood was a British character actor known for his distinguished stage and screen career, including roles in films such as "Jumpin' Jack Flash" and "WarGames."
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3a139f08190a0211d5848ccdfad completed March 20, 2026, 11:09 p.m.
Created at: March 20, 2026, 1:09 p.m.