Triple

T4914789
Position Surface form Disambiguated ID Type / Status
Subject Ken Price E110320 entity
Predicate name P16 FINISHED
Object Ken Price E110320 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: Ken Price | Statement: [Ken Price, name, Ken Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Price
Context triple: [Ken Price, name, Ken Price]
  • A. Ken Price chosen
    Ken Price was an influential American sculptor and ceramic artist known for his brightly colored, biomorphic forms that helped redefine contemporary ceramics in the 20th century.
  • B. Michael Price
    Michael Price is a British composer best known for his award-winning film and television scores, including work on the series "Sherlock."
  • C. Michael Price
    Michael Price is an American television writer and producer best known for his work on animated comedy series such as The Simpsons and F Is for Family.
  • D. 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.
  • E. Jeffrey Price
    Jeffrey Price is an American screenwriter best known for co-writing the groundbreaking live-action/animated film "Who Framed Roger Rabbit."
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9f12b48190b3cb5378958d03cd completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fee5f1c8190ba947811048c3db4 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.