Triple

T2548036
Position Surface form Disambiguated ID Type / Status
Subject Capability Brown E57951 entity
Predicate givenName P17 FINISHED
Object Lancelot E38009 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: Lancelot | Statement: [Capability Brown, givenName, Lancelot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancelot
Context triple: [Capability Brown, givenName, Lancelot]
  • A. Lancelot
    Lancelot is the codename of Roxy Morton, a skilled Kingsman agent in the "Kingsman" film series.
  • B. Sir Lancelot chosen
    Sir Lancelot is one of the most famous Knights of the Round Table in Arthurian legend, renowned for his unmatched prowess in battle and his tragic love affair with Queen Guinevere.
  • C. Sir Galahad
    Sir Galahad is a legendary knight of Arthurian romance renowned for his purity and for achieving the Holy Grail.
  • D. Galahad
    Galahad is the codename used by Gary "Eggsy" Unwin when he becomes a gentleman spy in the Kingsman film series.
  • E. Galahad
    Galahad is the codename of Harry Hart, a highly skilled and impeccably mannered secret agent in the Kingsman film series.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e672948190bb7fe9b47535a172 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d0e6e188190be190965cc02838e completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.