Triple

T22906382
Position Surface form Disambiguated ID Type / Status
Subject Peter de la Billière E568455 entity
Predicate familyName P18 FINISHED
Object de la Billière 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: de la Billière | Statement: [Peter de la Billière, familyName, de la Billière]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de la Billière
Context triple: [Peter de la Billière, familyName, de la Billière]
  • A. de la Billière chosen
    De la Billière is the surname of Sir Peter de la Billière, a prominent British Army general best known for commanding UK forces during the 1991 Gulf War.
  • B. Biljarda
    Biljarda is a historic building in Cetinje, Montenegro, best known as the former residence of Petar II Petrović-Njegoš and now home to the National Museum of Montenegro.
  • C. Belgian Pool
    Belgian Pool is a vividly colored hot spring in Yellowstone National Park’s Upper Geyser Basin, known for its striking blue water and orange-yellow mineral edges.
  • D. Baize
    The Baize is a river in northwestern France that flows through the Normandy region as a tributary of the Orne.
  • E. Sinai billiards
    Sinai billiards is a mathematical model in dynamical systems theory that studies the chaotic motion of a point particle reflecting elastically inside a planar domain with convex scatterers.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1801a48948190b5f51f1d02351fc7 completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.