Triple

T9564864
Position Surface form Disambiguated ID Type / Status
Subject Planetary Union E230764 entity
Predicate hasNotableOfficer P59056 FINISHED
Object Claire Finn E33534 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 Finn | Statement: [Planetary Union, hasNotableOfficer, Claire Finn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Finn
Context triple: [Planetary Union, hasNotableOfficer, Claire Finn]
  • A. Claire Finn chosen
    Claire Finn is a skilled and compassionate chief medical officer aboard the exploratory spaceship in the science-fiction comedy-drama series "The Orville."
  • B. A. L. Kennedy
    A. L. Kennedy is a Scottish writer and stand-up comedian known for her darkly comic, psychologically incisive fiction and essays.
  • C. Siobhan Dowd
    Siobhan Dowd was an award-winning British-Irish author best known for her powerful young adult novels that often explored themes of social justice, identity, and loss.
  • D. Jennifer Haigh
    Jennifer Haigh is an American novelist and short story writer known for her character-driven literary fiction exploring family, class, and the impact of the energy industry on small-town life.
  • E. Kate Ashfield
    Kate Ashfield is a British actress best known for her role as Liz in the cult zombie comedy film "Shaun of the Dead."
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996a01b081908e2782f41520f73d completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152a56f0481908f36df2d4d1291f2 completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.