Triple

T4559954
Position Surface form Disambiguated ID Type / Status
Subject Maid E120567 entity
Predicate castMember P1668 FINISHED
Object Nick Robinson E235133 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: Nick Robinson | Statement: [Maid, castMember, Nick Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Robinson
Context triple: [Maid, castMember, Nick Robinson]
  • A. Nick Robinson chosen
    Nick Robinson is an American actor best known for his roles in films such as "Jurassic World" and "Love, Simon," as well as the TV series "Melissa & Joey."
  • B. Keith Robinson
    Keith Robinson is an American actor and R&B singer best known for his role in the film adaptation of the musical "Dreamgirls."
  • C. Matthew Robbins
    Matthew Robbins is an American screenwriter and filmmaker known for his work on genre films such as Crimson Peak, Dragonslayer, and collaborations with directors like Guillermo del Toro.
  • D. Bill Durnan
    Bill Durnan was a Hall of Fame Canadian goaltender for the Montreal Canadiens in the 1940s, renowned for his ambidextrous catching ability and dominance in the early NHL.
  • E. Andrew Robinson
    Andrew Robinson is an American actor best known for his roles in films like "Dirty Harry" and the TV series "Star Trek: Deep Space Nine."
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc593eaf881908a9043366230b391 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.