Triple

T9721576
Position Surface form Disambiguated ID Type / Status
Subject Chuck Hogan E235484 entity
Predicate sourceWork P2296 FINISHED
Object Prince of Thieves E750072 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: Prince of Thieves | Statement: [Chuck Hogan, sourceWork, Prince of Thieves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince of Thieves
Context triple: [Chuck Hogan, sourceWork, Prince of Thieves]
  • A. Prince of Thieves chosen
    Prince of Thieves is a crime novel by Chuck Hogan that follows a skilled Boston bank robber whose life unravels when he falls for a woman connected to one of his heists.
  • B. Dragonheart
    Dragonheart is a 1996 fantasy adventure film renowned for its groundbreaking CGI dragon and the voice performance of Sean Connery.
  • C. The King of the Thieves
    The King of the Thieves is a crime novel by British author John Gardner that follows the intricate schemes and underworld dealings of professional criminals.
  • D. Prince of the Blood
    Prince of the Blood is a Japanese imperial title historically granted to male members of the extended imperial family who were not in the direct line of succession to the Chrysanthemum Throne.
  • E. King's Ransom
    "King's Ransom" is a 2005 crime-comedy film about a wealthy businessman who plots his own kidnapping, directed by Doug McHenry.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e42ce948190b52791b27c4456dc completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afa6d0d08190a8008b675c9aabb1 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:20 p.m.