Triple

T23558728
Position Surface form Disambiguated ID Type / Status
Subject Paris Price E579163 entity
Predicate hasFamilyName P18 FINISHED
Object Price 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: Price | Statement: [Paris Price, hasFamilyName, Price]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Price
Context triple: [Paris Price, hasFamilyName, Price]
  • A. Price chosen
    Price is a common English surname and word referring to the amount of money expected, required, or given in payment for something.
  • B. The Cost
    The Cost is a silent-era film featuring actor Rockliffe Fellowes, recognized as one of his significant screen performances.
  • C. COST
    COST is the stock ticker symbol for Costco Wholesale Corporation, a major American membership-based warehouse retail chain.
  • D. Price Supervisor
    The Price Supervisor is a Swiss federal authority responsible for monitoring and preventing abusive pricing practices to protect consumers and ensure fair competition.
  • E. The Purchase Price
    The Purchase Price is a 1932 pre-Code romantic drama film starring Barbara Stanwyck and George Brent, known for its blend of melodrama and social themes.
  • 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_69e245fe24588190888f3aec8407d8e3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1af6663e0819081d654da38cf3aa9 completed April 29, 2026, 7:12 a.m.
Created at: April 17, 2026, 6:12 p.m.