Triple

T5280704
Position Surface form Disambiguated ID Type / Status
Subject Laphroaig distillery E119488 entity
Predicate previousOwner P347 FINISHED
Object Allied Domecq E131995 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: Allied Domecq | Statement: [Laphroaig distillery, previousOwner, Allied Domecq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allied Domecq
Context triple: [Laphroaig distillery, previousOwner, Allied Domecq]
  • A. Remy Martin
    Remy Martin is an American professional basketball player and dynamic point guard known for his standout collegiate career at Arizona State University and later at the University of Kansas, where he helped win a national championship.
  • B. Pernod Ricard chosen
    Pernod Ricard is a major French wine and spirits company known globally for brands such as Absolut, Jameson, and Chivas Regal.
  • C. Moët & Chandon
    Moët & Chandon is a world-renowned French Champagne producer famous for its luxury sparkling wines and flagship Moët Impérial.
  • D. Hennessy
    Hennessy is a surname most prominently associated with John L. Hennessy, a renowned computer scientist and former president of Stanford University.
  • E. Hennessy
    Hennessy is a world-renowned French cognac producer, recognized as one of the leading and most prestigious brands in the global spirits industry.
  • 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_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84c5212481909cb3b5f43c0eedc0 completed March 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06dd56a08190a7cfef614e5990f4 completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.