Triple

T9299164
Position Surface form Disambiguated ID Type / Status
Subject Slaves of Babylon E223716 entity
Predicate starring P1507 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: [Slaves of Babylon, starring, Michael Ansara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Ansara
Context triple: [Slaves of Babylon, starring, 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. 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.
  • D. 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.
  • E. Jam Feruzuddin
    Jam Feruzuddin was a prominent ruler of the Samma dynasty, which governed parts of Sindh in present-day Pakistan during the late medieval period.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08cf50cc8190a025f478dff4f9fd completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0b25ac97881908751b466b370b7e5 completed April 4, 2026, 6:40 a.m.
Created at: March 30, 2026, 7:36 p.m.