Triple

T15593525
Position Surface form Disambiguated ID Type / Status
Subject Edward H. Plumb E374808 entity
Predicate collaboratedWith P435 FINISHED
Object Oliver Wallace E31230 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: Oliver Wallace | Statement: [Edward H. Plumb, collaboratedWith, Oliver Wallace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliver Wallace
Context triple: [Edward H. Plumb, collaboratedWith, Oliver Wallace]
  • A. Oliver Wallace chosen
    Oliver Wallace was a British-born American composer and conductor best known for scoring numerous classic Disney animated films in the mid-20th century.
  • B. Oliver Johnson
    Oliver Johnson was a prominent 19th-century American abolitionist, editor, and reformer active in the anti-slavery movement.
  • C. Oliver Martin
    Oliver Martin is the romantic lead in the film "A Lot Like Love," whose evolving relationship with Emily over several years forms the heart of the story.
  • D. Oliver Lacon
    Oliver Lacon is a senior British intelligence bureaucrat in John le Carré’s George Smiley novels, serving as a high-ranking civil servant overseeing the Secret Service.
  • E. Oliver Butcher
    Oliver Butcher is a screenwriter known for co-writing films such as the thriller "Message from the King."
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c7db58819089cb488fb3ea96cd completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.