Triple

T7595027
Position Surface form Disambiguated ID Type / Status
Subject Simon Skinner E179836 entity
Predicate antagonistOf P18963 FINISHED
Object Nicholas Angel E497984 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: Nicholas Angel | Statement: [Simon Skinner, antagonistOf, Nicholas Angel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Angel
Context triple: [Simon Skinner, antagonistOf, Nicholas Angel]
  • A. Nicholas Angel chosen
    Nicholas Angel is the hyper-competent, by-the-book London police officer who becomes the central protagonist of the action-comedy film "Hot Fuzz."
  • B. Nicholas Gage
    Nicholas Gage is a Greek-American author and former investigative journalist best known for his memoir "Eleni," which recounts his mother's execution during the Greek Civil War.
  • C. Maxim Knight
    Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
  • D. Brady Hawkes
    Brady Hawkes is the seasoned, cool-headed professional gambler protagonist of the TV film series "The Gambler," known for his skill at cards and calm demeanor in the Old West.
  • E. Elias Pearce
    Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bbcd8081909a229d7faa2ffdc8 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8619d6f2081908c8b589d4106691f completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:53 p.m.