Triple

T4209373
Position Surface form Disambiguated ID Type / Status
Subject Our Friends in the North E93861 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Peter Flannery E445027 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: Peter Flannery | Statement: [Our Friends in the North, basedOnWorkBy, Peter Flannery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Flannery
Context triple: [Our Friends in the North, basedOnWorkBy, Peter Flannery]
  • A. Peter Flannery chosen
    Peter Flannery is a British playwright and screenwriter best known for his influential television drama work, including the acclaimed series "Our Friends in the North."
  • B. Mark Flanagan
    Mark Flanagan is a name shared by several notable individuals, including figures in politics, media, and the arts.
  • C. Patrick Flanagan
    Patrick Flanagan is an American inventor and author best known for his work on neurophone technology and fringe scientific and New Age concepts.
  • D. Kevin Flanagan
    Kevin Flanagan is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • E. Brian Flanagan
    Brian Flanagan is a fictional bartender and main character from the 1988 film "Cocktail," portrayed by Tom Cruise.
  • 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_69b3451743608190808f41d17ccf2650 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3480f80208190b08ca6ccfe9c41f6 completed March 12, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde03b1f508190b9d5026103d3ee79 completed March 21, 2026, 12:03 a.m.
Created at: March 12, 2026, 11:03 p.m.