Triple

T13262423
Position Surface form Disambiguated ID Type / Status
Subject Mahmud Hotak E315831 entity
Predicate style P87 FINISHED
Object Shah E365310 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: Shah | Statement: [Mahmud Hotak, style, Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shah
Context triple: [Mahmud Hotak, style, Shah]
  • A. Shah chosen
    Shah is a royal title historically used for monarchs and rulers in Persia (Iran) and other regions of the Islamic world.
  • B. King Shahdov
    King Shahdov is the exiled monarch and central figure of Charlie Chaplin’s satirical film "A King in New York," through whom the movie critiques American politics, media, and McCarthy-era paranoia.
  • C. Rahbar
    Rahbar is the title commonly used for the Supreme Leader of Iran, the country's highest political and religious authority.
  • D. Shah Cheragh
    Shah Cheragh is a major Shia Muslim pilgrimage site and mausoleum in Shiraz, Iran, renowned for its dazzling mirrored interior and religious significance.
  • E. Ram Shah
    Ram Shah was a prominent 17th-century king of the Gorkha Kingdom in present-day Nepal, renowned for his just rule and legal reforms that laid foundations for later unification efforts.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901b380881909e6520fbb6811084 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716cac5388190a839ec1dbdcdbf82 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:25 p.m.