Triple

T2939511
Position Surface form Disambiguated ID Type / Status
Subject 47 Ronin E79349 entity
Predicate screenwriter P2831 FINISHED
Object Hossein Amini E241098 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: Hossein Amini | Statement: [47 Ronin, screenwriter, Hossein Amini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hossein Amini
Context triple: [47 Ronin, screenwriter, Hossein Amini]
  • A. Hossein Amini chosen
    Hossein Amini is an Iranian-British screenwriter and director known for his work on films such as "Drive," "The Wings of the Dove," and various literary adaptations.
  • B. Kaveh Khosrowshahi
    Kaveh Khosrowshahi is a businessman and member of the prominent Khosrowshahi family, known in part for his familial connection to Uber CEO Dara Khosrowshahi.
  • C. Darius Alizadeh
    Darius Alizadeh is a character appearing in the James Bond continuation novel "Devil May Care" by Sebastian Faulks.
  • D. Karim Khalili
    Karim Khalili is an Afghan politician and former vice president who served as a prominent Hazara leader and key figure in the anti-Taliban resistance.
  • E. Bijan Davari
    Bijan Davari is an Iranian-American electrical engineer and IBM researcher known for his pioneering contributions to high-performance CMOS technology and microprocessor design.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986d9a248190927efc1a0c7d247f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08686b0388190a214ad8a615f2da5 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:56 p.m.