Triple

T20287137
Position Surface form Disambiguated ID Type / Status
Subject Stanley Tucci as Tony Shaw E509913 entity
Predicate filmWriterOfWork P64760 FINISHED
Object Arash Amel NE NERFINISHED

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: Arash Amel | Statement: [Stanley Tucci as Tony Shaw, filmWriterOfWork, Arash Amel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arash Amel
Context triple: [Stanley Tucci as Tony Shaw, filmWriterOfWork, Arash Amel]
  • A. Arash Amel chosen
    Arash Amel is a British-Iranian screenwriter and producer known for writing biographical and historical dramas in Hollywood.
  • B. Arash Pournouri
    Arash Pournouri is a Swedish music manager, producer, and songwriter best known for managing Avicii and co-writing several of his hit tracks.
  • C. Peyman Moaadi
    Peyman Moaadi is an Iranian-American actor, screenwriter, and director best known internationally for his role in the Oscar-winning film "A Separation."
  • D. Mehdi Hatamian
    Mehdi Hatamian is an electrical engineer and technologist recognized for his influential contributions to high-speed integrated circuits and signal processing, for which he has received major industry honors.
  • E. Ali Soheili
    Ali Soheili was an Iranian politician who served as prime minister during the early 1940s, a turbulent period marked by World War II and foreign occupation of Iran.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e676931fe08190b278d829a745701f completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 11:07 a.m.