Triple

T5416289
Position Surface form Disambiguated ID Type / Status
Subject Maurice Gamelin E121139 entity
Predicate notableWork P4 FINISHED
Object Servir E125851 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: Servir | Statement: [Maurice Gamelin, notableWork, Servir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Servir
Context triple: [Maurice Gamelin, notableWork, Servir]
  • A. Servir chosen
    Servir is a memoir by French general Maurice Gamelin reflecting on his military career and experiences, particularly around the Second World War.
  • B. Banquet
    "Banquet" is a song from Joni Mitchell's 1972 album *For the Roses*, reflecting her introspective folk-rock style and lyrical social commentary.
  • C. Sabor
    Sabor is the unicameral national legislature and representative body of the Republic of Croatia.
  • D. Ripaille
    Ripaille is a historic lakeside château and former monastic estate on the southern shore of Lake Geneva in Thonon-les-Bains, France, known for its association with the Dukes of Savoy and later wine production.
  • E. La Soupe
    La Soupe is a somber, monochromatic painting by Pablo Picasso that exemplifies the emotional depth and social themes of his Blue Period.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87bff75881909bdfd2cdf7ff5657 completed March 20, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4121edc4819081fdb79dcc182540 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 2:05 p.m.