Triple

T11844630
Position Surface form Disambiguated ID Type / Status
Subject The Affairs of Cellini E281742 entity
Predicate costumeDesignBy P184 FINISHED
Object Omar Kiam E512205 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: Omar Kiam | Statement: [The Affairs of Cellini, costumeDesignBy, Omar Kiam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omar Kiam
Context triple: [The Affairs of Cellini, costumeDesignBy, Omar Kiam]
  • A. Omar Kiam chosen
    Omar Kiam was an American costume designer best known for his stylish work in 1930s and 1940s Hollywood films and later in high-end fashion.
  • B. 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.
  • C. Mehdi Bushehri
    Mehdi Bushehri was an Iranian businessman and political figure best known as the husband of Princess Ashraf Pahlavi, twin sister of Mohammad Reza Shah Pahlavi.
  • D. Amir Naderi
    Amir Naderi is an acclaimed Iranian filmmaker and screenwriter known for influential works in Iranian New Wave cinema and later international films.
  • E. Hossein Amini
    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.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65b5ff08190bb58361f6a6acdca completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1679729c08190a9f6750586f90d8d completed April 29, 2026, 2:06 a.m.
Created at: April 8, 2026, 9:43 p.m.