Triple

T5815013
Position Surface form Disambiguated ID Type / Status
Subject Alan Price E128962 entity
Predicate name P16 FINISHED
Object Alan Price E128962 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: Alan Price | Statement: [Alan Price, name, Alan Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Price
Context triple: [Alan Price, name, Alan Price]
  • A. Alan Price chosen
    Alan Price is an English musician and composer best known as the original keyboardist for The Animals and for his later solo and film score work.
  • B. Alan Barlow
    Alan Barlow was the husband of British botanist and editor Nora Barlow, granddaughter and biographer of Charles Darwin.
  • C. Bruce Price
    Bruce Price was a prominent late 19th-century American architect known for his influential hotel and residential designs that helped shape the Shingle Style and early skyscraper architecture.
  • D. Ian Walters
    Ian Walters was a British sculptor best known for his politically engaged public monuments, including prominent statues of anti-apartheid leader Nelson Mandela.
  • E. Ken Parry
    Ken Parry was a British character actor known for his numerous supporting roles in film and television from the 1960s through the 1980s.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03361c79081908baf872821e79983 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0984c5f14819096dfabce4a83e332 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:53 p.m.