Triple

T16911483
Position Surface form Disambiguated ID Type / Status
Subject Father John DuBois E410204 entity
Predicate predecessor P97 FINISHED
Object John Connolly E1003187 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: John Connolly | Statement: [Father John DuBois, predecessor, John Connolly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Connolly
Context triple: [Father John DuBois, predecessor, John Connolly]
  • A. John Connolly
    John Connolly is an Irish author best known for his crime fiction series featuring private detective Charlie Parker.
  • B. John Connolly chosen
    John Connolly was a real-life FBI agent in Boston notorious for his corrupt relationship with mobster Whitey Bulger, a story dramatized in the film "Black Mass."
  • C. Michael Connolly
    Michael Connolly is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • D. Christopher Fowler
    Christopher Fowler was a British author best known for his Bryant & May mystery novels and his work in horror and dark fantasy fiction.
  • E. Ben Aaronovitch
    Ben Aaronovitch is a British author and screenwriter best known for his urban fantasy "Rivers of London" series, which blends police procedural elements with magic in a contemporary London setting.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3d6be88190bca5e1fdf727141b completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7bb4ac481909318d3d61a2d10e1 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.