Triple

T22702030
Position Surface form Disambiguated ID Type / Status
Subject Man on the Moon E561347 entity
Predicate producer P490 FINISHED
Object Stacey Sher NE NERFINISHED

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: [Man on the Moon, producer, Stacey Sher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stacey Sher
Context triple: [Man on the Moon, 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. Stacy Haiduk
    Stacy Haiduk is an American actress known for her work in television, including prominent roles in series such as seaQuest DSV, Superboy, and various daytime soap operas.
  • C. Valerie Faris
    Valerie Faris is an American film and music video director best known for co-directing acclaimed features such as "Little Miss Sunshine" and other character-driven comedies and dramas.
  • D. Suzanne Balk
    Suzanne Balk is a fictional character from the long-running Dutch soap opera "Goede tijden, slechte tijden."
  • E. Jodi Wexler
    Jodi Wexler is an actress best known for her role in the film "The Love Machine."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cb2f548190bfc6f050be7c795a completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:16 p.m.