Triple

T14116246
Position Surface form Disambiguated ID Type / Status
Subject William Procter E339783 entity
Predicate name P16 FINISHED
Object William Procter E339783 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: William Procter | Statement: [William Procter, name, William Procter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Procter
Context triple: [William Procter, name, William Procter]
  • A. William Procter chosen
    William Procter was a 19th-century British-born American businessman best known as one of the co-founders of the consumer goods giant Procter & Gamble.
  • B. William Colgate
    William Colgate was a 19th-century English-American soap and candle manufacturer whose business ventures laid the foundation for what became the global consumer products company Colgate-Palmolive.
  • C. George Culmer
    George Culmer is a British business executive and former chief financial officer of major financial institutions, known for senior leadership roles in the UK insurance and banking sectors.
  • D. Michael Procter
    Michael Procter is a singer best known for his work as a former member of the American vocal group The 5th Dimension.
  • E. King C. Gillette
    King C. Gillette was an American businessman and inventor best known for creating the safety razor and founding the Gillette razor company.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6010a03c81909f5f160f8d1fa8fa completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0baa328819099511dfa7b9666d3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.