Triple

T10322002
Position Surface form Disambiguated ID Type / Status
Subject Injuids E242157 entity
Predicate usedTitle P3254 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: [Injuids, usedTitle, Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shah
Context triple: [Injuids, usedTitle, 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. 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.
  • E. Malekshahi
    Malekshahi is a dialect of Southern Kurdish spoken primarily by the Malekshahi Kurdish tribe in western Iran and parts of Iraq.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6cce38c8190bfa0f2fb53ed0065 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d9b2ad881909f3076f8f9d1b1d3 completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:50 a.m.