Triple

T22432362
Position Surface form Disambiguated ID Type / Status
Subject National Health E554529 entity
Predicate hasMember P10 FINISHED
Object Don Rendell NE NERFINISHED

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: Don Rendell | Statement: [National Health, hasMember, Don Rendell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Rendell
Context triple: [National Health, hasMember, Don Rendell]
  • A. Don Rendell chosen
    Don Rendell was a British jazz saxophonist and bandleader known for his influential work in the UK modern jazz scene from the 1950s onward.
  • B. Ed Rendell
    Ed Rendell is an American Democratic politician who served as mayor of Philadelphia and later as governor of Pennsylvania.
  • C. Michael Nutter
    Michael Nutter is an American politician who served as the 98th mayor of Philadelphia from 2008 to 2016.
  • D. Rendell
    Rendell is an English surname most notably associated with acclaimed crime novelist Ruth Rendell.
  • E. Michael Cavener
    Michael Cavener is a musician known for being a member of the Canadian rock band The Guess Who.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.