Triple

T9450648
Position Surface form Disambiguated ID Type / Status
Subject Allison Shearmur E227879 entity
Predicate name P16 FINISHED
Object Allison Shearmur E227879 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: Allison Shearmur | Statement: [Allison Shearmur, name, Allison Shearmur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allison Shearmur
Context triple: [Allison Shearmur, name, Allison Shearmur]
  • A. Allison Shearmur chosen
    Allison Shearmur was an American film producer known for her work on major franchises including Star Wars, The Hunger Games, and several Disney live-action adaptations.
  • B. Allison Feaster
    Allison Feaster is a former American professional basketball player best known for her standout WNBA career and later work as an NBA front office executive.
  • C. Allison Schroeder
    Allison Schroeder is an American screenwriter best known for co-writing the acclaimed film "Hidden Figures" and other major Hollywood projects.
  • D. Allison Wright
    Allison Wright is a British actress known for her roles in television series such as "The Americans" and "Snowpiercer," as well as various film and stage performances.
  • E. Allison Abbate
    Allison Abbate is an American film producer best known for her work on major animated features such as The Iron Giant, Corpse Bride, and The LEGO Movie.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87dfc46e08190bea27c11b987cb6d completed April 10, 2026, 4:35 a.m.
Created at: March 30, 2026, 7:51 p.m.