Triple

T10722460
Position Surface form Disambiguated ID Type / Status
Subject Guns of the Magnificent Seven E252855 entity
Predicate stars P1956 FINISHED
Object Michael Ansara E502679 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: Michael Ansara | Statement: [Guns of the Magnificent Seven, stars, Michael Ansara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Ansara
Context triple: [Guns of the Magnificent Seven, stars, Michael Ansara]
  • A. Michael Ansara chosen
    Michael Ansara was a Syrian-American character actor best known for his deep voice and frequent roles in Westerns and science fiction, including memorable appearances in series like Star Trek and Babylon 5.
  • B. Sam Joshi
    Sam Joshi is an American politician who serves as the mayor of Edison Township, New Jersey.
  • C. Mekaal Hasan
    Mekaal Hasan is a Pakistani musician, guitarist, and producer best known as the founder and bandleader of the fusion group Mekaal Hasan Band, which blends classical South Asian music with jazz and rock.
  • D. Abdul Mateen
    Abdul Mateen is a Bruneian prince and public figure known for his military career, international diplomacy, and prominent presence in regional and global events.
  • E. Michael Bhaskar
    Michael Bhaskar is a British writer, publisher, and technology theorist known for his work on the impact of digital innovation and artificial intelligence on society and the future.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d44d0048190a78aae2357e864a5 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb738f8488190837a675b82ce75aa completed April 12, 2026, 3:16 p.m.
Created at: April 8, 2026, 9:13 p.m.