Triple

T424948
Position Surface form Disambiguated ID Type / Status
Subject Goodwin Knight E8186 entity
Predicate familyName P18 FINISHED
Object Knight E18948 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: Knight | Statement: [Goodwin Knight, familyName, Knight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Knight
Context triple: [Goodwin Knight, familyName, Knight]
  • A. Knight chosen
    A Knight in the Order of Prince Henry is a distinguished rank of honor awarded by Portugal for notable services to the country and the spread of Portuguese culture.
  • B. Goodwin Knight
    Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
  • C. 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.
  • D. Sir Feirionnydd
    Sir Feirionnydd is the Welsh-language name for the historic county of Merionethshire in northwest Wales.
  • E. Royal Knights
    Royal Knights are a chivalric title historically bestowed upon elite warriors or nobles who pledged fealty to a monarch and upheld codes of honor and service.
  • 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_69a2e7f1d1bc81909cf2dc9754a3c334 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eed56ab481909eec289075496260 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42a17403081909bcbbc0fdfdc25dc completed March 1, 2026, 11:59 a.m.
Created at: Feb. 28, 2026, 1:11 p.m.