Triple

T6056706
Position Surface form Disambiguated ID Type / Status
Subject Arvilla Knight E134930 entity
Predicate spouse P13 FINISHED
Object Goodwin Knight E8186 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: Goodwin Knight | Statement: [Arvilla Knight, spouse, Goodwin Knight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goodwin Knight
Context triple: [Arvilla Knight, spouse, Goodwin Knight]
  • A. Goodwin Knight chosen
    Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
  • B. Knight of the Bath
    The Knight of the Bath is a rank of knighthood within the British Order of the Bath, historically bestowed as a high honor for distinguished military or civil service.
  • C. Lancelot Heath
    Lancelot Heath is an individual notable enough to be recognized as a prominent bearer of the surname Heath.
  • D. Squire Gresham
    Squire Gresham is a country landowner character in Anthony Trollope’s novel "Doctor Thorne," known for his declining estate and social ambitions.
  • E. William Cornysh
    William Cornysh was an English Renaissance composer and dramatist known for his influential sacred and secular music at the Tudor court.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570bf01c8190a8b2c25b7805d403 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113b06d188190839cfc48a2461d65 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.