Triple

T14741127
Position Surface form Disambiguated ID Type / Status
Subject John Cardinal McCloskey E346346 entity
Predicate familyName P18 FINISHED
Object McCloskey E344533 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: McCloskey | Statement: [John Cardinal McCloskey, familyName, McCloskey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McCloskey
Context triple: [John Cardinal McCloskey, familyName, McCloskey]
  • A. McCloskey chosen
    McCloskey is a surname most notably associated with John Cardinal McCloskey, the first American cardinal in the Roman Catholic Church.
  • B. Cowles
    Cowles is a surname most notably associated with Henry Chandler Cowles, an influential American botanist and pioneer of ecological succession studies.
  • C. Leacock-Pennebaker
    Leacock-Pennebaker was a pioneering American documentary film production company known for its influential cinéma vérité works in the 1960s.
  • D. McClurg
    McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
  • E. Sossick
    Sossick is a Nigerian music producer known for crafting influential hip-hop and Afrobeats tracks for prominent artists.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7345680819093e901233a064e48 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb93e94c8190beba605e26d4552c completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.