Triple

T9970107
Position Surface form Disambiguated ID Type / Status
Subject Venom E196181 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: [Venom, producer, Avi Arad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avi Arad
Context triple: [Venom, 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. Boaz Yakin
    Boaz Yakin is an American filmmaker and screenwriter known for writing and directing films such as "Fresh" and "Remember the Titans."
  • C. Amnon Shashua
    Amnon Shashua is an Israeli computer scientist and entrepreneur best known as the co-founder and CEO of Mobileye, a leading company in advanced driver-assistance and autonomous driving technologies.
  • D. Rafi Gavron
    Rafi Gavron is a British-American actor known for supporting roles in film and television, including appearances in projects like "A Star Is Born" (2018) and "Nick & Norah's Infinite Playlist."
  • E. Menahem Golan
    Menahem Golan was an Israeli film producer and director best known for co-founding Cannon Films and producing numerous action and genre movies in the 1980s.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257c002cc8190becc9730b2c01782 completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:48 p.m.