Triple

T21129671
Position Surface form Disambiguated ID Type / Status
Subject Duke of Mortemart E520652 entity
Predicate namedAfter P63 FINISHED
Object Mortemart 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: Mortemart | Statement: [Duke of Mortemart, namedAfter, Mortemart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mortemart
Context triple: [Duke of Mortemart, namedAfter, Mortemart]
  • A. Saint-Martory
    Saint-Martory is a small commune in southwestern France, known for its historic bridge over the Garonne River and its location in the Haute-Garonne department of the Occitanie region.
  • B. Malemort
    Malemort is a commune in the Corrèze department of south-central France, situated near the town of Brive-la-Gaillarde.
  • C. Gehina
    Gehina is a city located within Egypt’s Dakahlia Governorate in the Nile Delta region.
  • D. de Mortemart chosen
    De Mortemart is the noble French family name of Madame de Montespan, a prominent 17th-century courtier and mistress of King Louis XIV.
  • E. The Grave
    "The Grave" is a 1961 episode of the anthology television series The Twilight Zone, featuring a tense Western ghost story about a lawman who must confront the vengeful spirit of an outlaw he failed to capture alive.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223b4c4c8190b9fffa610588651e completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:56 p.m.