Triple

T3772916
Position Surface form Disambiguated ID Type / Status
Subject Out of Sight E83237 entity
Predicate producer P490 FINISHED
Object Stacey Sher E130841 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: Stacey Sher | Statement: [Out of Sight, producer, Stacey Sher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stacey Sher
Context triple: [Out of Sight, producer, Stacey Sher]
  • A. Stacey Sher chosen
    Stacey Sher is an American film and television producer known for her work on acclaimed movies such as "Django Unchained," "Pulp Fiction," and "Erin Brockovich."
  • B. Lesli Linka Glatter
    Lesli Linka Glatter is an American television director and producer known for her work on acclaimed series such as Homeland, Mad Men, and The West Wing.
  • C. Stacey Mindich
    Stacey Mindich is a Tony Award–winning American theater producer best known for shepherding the hit Broadway musical "Dear Evan Hansen."
  • D. Rainey Reitman
    Rainey Reitman is a digital rights and civil liberties advocate known for her leadership roles in organizations defending press freedom and online privacy.
  • E. Amy Kaufman
    Amy Kaufman is a film producer best known for her work on critically acclaimed independent dramas such as "Beasts of No Nation."
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc57c9e48190a0f254e47348bf32 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f039cd9c81908ea1428f2c328cdb completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:36 p.m.