Triple

T1664262
Position Surface form Disambiguated ID Type / Status
Subject Dora Maar au Chat E35974 entity
Predicate salePriceApproximate P30527 FINISHED
Object 95 million US dollars LITERAL 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: 95 million US dollars | Statement: [Dora Maar au Chat, salePriceApproximate, 95 million US dollars]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: salePriceApproximate
Context triple: [Dora Maar au Chat, salePriceApproximate, 95 million US dollars]
  • A. purchasePrice
    Indicates the monetary amount paid or agreed to be paid to acquire something in a purchase transaction.
  • B. priceDeterminedBy
    Indicates that the price of one entity is set, influenced, or calculated based on another entity or factor.
  • C. actualLaunchPrice
    Indicates the price at which something was actually launched or first offered, as opposed to its planned or advertised launch price.
  • D. originalPrice
    Indicates the monetary amount that something initially cost before any discounts, changes, or adjustments were applied.
  • E. priceInfluencedBy
    Indicates that the price of one entity is affected or determined by another specified factor or entity.
  • F. None of above. chosen

Provenance (4 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa994f92b0819084ee2f6a672334b9 completed March 6, 2026, 9:07 a.m.
PD Predicate disambiguation batch_69a907d2475c8190b7ec7dccd3335eb1 completed March 5, 2026, 4:34 a.m.
PDg Predicate description generation batch_69a94192abc0819092fc00fef9d53bcb completed March 5, 2026, 8:40 a.m.
Created at: March 4, 2026, 7:29 p.m.