Triple

T14745397
Position Surface form Disambiguated ID Type / Status
Subject The Hitman’s Bodyguard E346455 entity
Predicate writer P1360 FINISHED
Object Tom O’Connor E1173184 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: Tom O’Connor | Statement: [The Hitman’s Bodyguard, writer, Tom O’Connor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom O’Connor
Context triple: [The Hitman’s Bodyguard, writer, Tom O’Connor]
  • A. Tom O’Connor chosen
    Tom O’Connor is a screenwriter best known for penning action-comedy and thriller films such as "The Hitman’s Bodyguard" and the Cold War spy drama "The Courier."
  • B. Roger O'Connor
    Roger O'Connor was an Irish nationalist and writer known for his radical political views in the late 18th and early 19th centuries.
  • C. Kevin O'Connor
    Kevin O'Connor is an American entrepreneur best known as the co-founder and former CEO of the online advertising company DoubleClick.
  • D. Robert Emmett O’Connor
    Robert Emmett O’Connor was an American character actor of the early 20th century, best known for his numerous supporting roles in Hollywood films, often portraying policemen or authority figures.
  • E. Bob O’Connor
    Bob O’Connor is an American ice hockey figure recognized for his significant contributions to the sport, honored with the USA Hockey Distinguished Achievement Award.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d002708190a32a4a45e96fc389 completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfb725d48190bdca0a85ca7f440c completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 1:30 a.m.