Triple

T19726124
Position Surface form Disambiguated ID Type / Status
Subject Macauley E473730 entity
Predicate isRelatedTo P37 FINISHED
Object McCauley 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: McCauley | Statement: [Macauley, isRelatedTo, McCauley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McCauley
Context triple: [Macauley, isRelatedTo, McCauley]
  • A. McCauley chosen
    McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
  • B. McAuley
    McAuley is a Scottish surname historically linked to Clan MacAulay, a Highland clan with roots in western Scotland.
  • C. McCaskey
    McCaskey is the surname of Virginia Halas McCaskey, the longtime principal owner of the NFL’s Chicago Bears and daughter of legendary coach and owner George Halas.
  • D. Leahey
    Leahey is a surname variant of Leahy, an Irish family name of Gaelic origin.
  • E. McCallum
    McCallum is the namesake of the McCallum Graduate School of Business, likely a notable benefactor or figure associated with the institution.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f7bedc81908f784832c0fc10a1 completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:46 p.m.