Triple

T15625137
Position Surface form Disambiguated ID Type / Status
Subject The Good Dinosaur E375658 entity
Predicate cinematography P1953 FINISHED
Object Mahyar Abousaeedi E256025 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: Mahyar Abousaeedi | Statement: [The Good Dinosaur, cinematography, Mahyar Abousaeedi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahyar Abousaeedi
Context triple: [The Good Dinosaur, cinematography, Mahyar Abousaeedi]
  • A. Mahyar Abousaeedi chosen
    Mahyar Abousaeedi is a cinematographer best known for his work on the Pixar animated film "Turning Red."
  • B. 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.
  • C. 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.
  • D. Shervin Alenabi
    Shervin Alenabi is an actor best known for his role in the espionage thriller television series "Tehran."
  • E. 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.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e73534819095fca1b804d5db58 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:14 a.m.