Triple

T1628665
Position Surface form Disambiguated ID Type / Status
Subject Smoke E35204 entity
Predicate creator P184 FINISHED
Object Tony Smith E126722 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: Tony Smith | Statement: [Smoke, creator, Tony Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Smith
Context triple: [Smoke, creator, Tony Smith]
  • A. Tony Smith chosen
    Tony Smith was an influential American sculptor and architect best known for his large-scale minimalist geometric sculptures.
  • B. Russell Carpenter
    Russell Carpenter is an Academy Award–winning American cinematographer best known for his work on major films such as Titanic and other high-profile Hollywood productions.
  • C. Charles Walters
    Charles Walters was an American film director and choreographer best known for his work on classic MGM musicals in the mid-20th century.
  • D. Richard Hamlett
    Richard Hamlett is an American real estate developer best known for his marriage to actress and singer Debbie Reynolds.
  • E. Lloyd Levin
    Lloyd Levin is an American film producer known for his work on major genre films such as "Hellboy II: The Golden Army," "Watchmen," and "United 93."
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909f257948190b3398fd6dc91f586 completed March 5, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71a61de8819095005c222ec50810 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:28 p.m.