Triple

T13797329
Position Surface form Disambiguated ID Type / Status
Subject Tears of the Sun E331550 entity
Predicate producer P490 FINISHED
Object Avi Arad E175532 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: Avi Arad | Statement: [Tears of the Sun, producer, Avi Arad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avi Arad
Context triple: [Tears of the Sun, producer, Avi Arad]
  • A. Avi Arad chosen
    Avi Arad is an Israeli-American film producer and former Marvel executive best known for helping launch the modern era of Marvel superhero movies.
  • B. Eran Riklis
    Eran Riklis is an Israeli film director known for socially and politically themed dramas such as "The Syrian Bride" and "Lemon Tree."
  • C. Boaz Yakin
    Boaz Yakin is an American filmmaker and screenwriter known for writing and directing films such as "Fresh" and "Remember the Titans."
  • D. Igal Naor
    Igal Naor is an Israeli actor best known internationally for his portrayals of Middle Eastern political and military figures in film and television.
  • E. Eran Egozy
    Eran Egozy is an American engineer and entrepreneur best known as the co-founder of the video game company Harmonix, which created influential music and rhythm games like Guitar Hero and Rock Band.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025be1f08190aac525d72d7dc0c3 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b086d6d48190b823ed0a4403fbc5 completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.