Triple

T4029650
Position Surface form Disambiguated ID Type / Status
Subject Patrick Ness E83674 entity
Predicate influencedBy P9 FINISHED
Object Siobhan Dowd E394559 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: Siobhan Dowd | Statement: [Patrick Ness, influencedBy, Siobhan Dowd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siobhan Dowd
Context triple: [Patrick Ness, influencedBy, Siobhan Dowd]
  • A. Siobhan Dowd chosen
    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.
  • B. Claire Finn
    Claire Finn is a skilled and compassionate chief medical officer aboard the exploratory spaceship in the science-fiction comedy-drama series "The Orville."
  • C. Moira Harris
    Moira Harris is an American actress known for her film, television, and stage work, and for her long-time marriage to actor and director Gary Sinise.
  • D. Prunella Gee
    Prunella Gee is a British actress known for her film, television, and stage work, particularly in British productions of the 1970s and 1980s.
  • E. Gail Chambers
    Gail Chambers is a person notable enough to be recognized as a bearer of the surname Chambers, though specific widely known biographical details about her are not clearly established in common reference sources.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf1d8208190951a20ad7e5ab7bc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556358f148190be7008092d0023af completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.