Triple

T15576349
Position Surface form Disambiguated ID Type / Status
Subject Outnumbered E374378 entity
Predicate starredActor P5563 FINISHED
Object Claire Skinner E611292 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: Claire Skinner | Statement: [Outnumbered, starredActor, Claire Skinner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Skinner
Context triple: [Outnumbered, starredActor, Claire Skinner]
  • A. Claire Skinner chosen
    Claire Skinner is an English actress best known for her work in film, television, and theatre, including her role in the British sitcom "Outnumbered."
  • B. Claire Jennings
    Claire Jennings is a British film producer known for her work on acclaimed independent and genre films, including the 2017 psychological thriller "Breathe."
  • C. Claire Wright
    Claire Wright is known as the wife of Tom Wright, a prominent British New Testament scholar and former Bishop of Durham.
  • D. Claire Keim
    Claire Keim is a French actress and singer known for her work in film, television, and music.
  • E. Claire Dodd
    Claire Dodd was an American film actress of the 1930s and 1940s, often cast as sophisticated or scheming society women in Hollywood productions.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e22c89081909b1ec0cd36a1ef45 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c78f36d88190a39f407c5d8dbc0d completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 4:10 a.m.