Triple

T15973992
Position Surface form Disambiguated ID Type / Status
Subject Price, Waterhouse & Co. E387395 entity
Predicate alsoKnownAs P39 FINISHED
Object Price Waterhouse E165280 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: Price Waterhouse | Statement: [Price, Waterhouse & Co., alsoKnownAs, Price Waterhouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Price Waterhouse
Context triple: [Price, Waterhouse & Co., alsoKnownAs, Price Waterhouse]
  • A. Price Waterhouse chosen
    Price Waterhouse was a major international accounting firm that later became part of PricewaterhouseCoopers (PwC), one of the world’s largest professional services networks.
  • B. Elizabeth Waters
    Elizabeth Waters is a central figure in the film "Why Do Fools Fall in Love," portrayed as one of the women entangled in the tumultuous romantic and legal battles surrounding singer Frankie Lymon.
  • C. Elizabeth Waters
    Elizabeth Waters was the wife of renowned American horticulturist and plant breeder Luther Burbank.
  • D. Ellora Torchia
    Ellora Torchia is a British actress known for her roles in films such as "Midsommar" and various acclaimed television and stage productions.
  • E. Castello Brown
    Castello Brown is a historic hilltop fortress-turned-villa overlooking the harbor of Portofino on the Italian Riviera.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572b667c8190b28d0556e45422bb completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8ce7788190a3e0aefc9a29d58a completed May 9, 2026, 11:09 p.m.
Created at: April 10, 2026, 4:54 a.m.