Triple

T11884192
Position Surface form Disambiguated ID Type / Status
Subject Franklin E282733 entity
Predicate taleGenre P11858 FINISHED
Object Breton lai E951580 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: Breton lai | Statement: [Franklin, taleGenre, Breton lai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breton lai
Context triple: [Franklin, taleGenre, Breton lai]
  • A. Breton lai chosen
    A Breton lai is a short medieval narrative poem, often involving romance, chivalry, and the supernatural, traditionally associated with Brittany and written in verse.
  • B. Le Breton
    Le Breton is a French surname borne by various notable figures, including publishers, politicians, and artists.
  • C. Lebreton
    Lebreton is a French surname, often a variant of "Le Breton," historically denoting someone from Brittany (Bretagne) in France.
  • D. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • E. Mor Breizh
    Mor Breizh is the Breton name for the English Channel, the arm of the Atlantic Ocean that separates southern England from northern France.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903024afc8190a97aa3263dc7d017 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f417da310c8190aa04df2a316a5dd0 completed May 1, 2026, 3:02 a.m.
Created at: April 8, 2026, 9:44 p.m.