Triple

T20416326
Position Surface form Disambiguated ID Type / Status
Subject Costard E500721 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Dumaine 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: Dumaine | Statement: [Costard, associatedWithCharacter, Dumaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dumaine
Context triple: [Costard, associatedWithCharacter, Dumaine]
  • A. Dumaine chosen
    Dumaine is one of the lords attending on the King of Navarre in Shakespeare’s comedy "Love's Labour's Lost," known for his role in the group’s romantic and intellectual pursuits.
  • B. Lewelin
    Lewelin is a variant spelling of the Welsh given name Llewelyn, historically borne by several medieval Welsh princes and nobles.
  • C. Trudaine
    Trudaine is a French surname historically associated with an influential family of administrators and intellectuals in 18th-century France.
  • D. Manceau
    Manceau is the French term used to refer to an inhabitant or native of the city of Le Mans.
  • E. Damous
    Damous is a coastal town and commune in northern Algeria known for its Mediterranean setting and role as a local administrative and commercial center.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4437448190b07b6e6e3de5830f completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.