Triple

T21550503
Position Surface form Disambiguated ID Type / Status
Subject Nicolas Léonard Sadi Carnot E531747 entity
Predicate givenName P17 FINISHED
Object Nicolas 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: Nicolas | Statement: [Nicolas Léonard Sadi Carnot, givenName, Nicolas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolas
Context triple: [Nicolas Léonard Sadi Carnot, givenName, Nicolas]
  • A. Nicolas
    Nicolas is a character in the surreal French romantic drama film "Mood Indigo" (2013), which is based on Boris Vian's novel "Froth on the Daydream."
  • B. Nicolas Lud
    Nicolas Lud is a notable alumnus of the Gymnasium Vosagense, recognized for his achievements after attending this French secondary school.
  • C. Nicolas Baby
    Nicolas Baby is a composer best known for creating the musical score for the French thriller film "Le Convoyeur" ("Cash Truck").
  • D. Nicholas chosen
    Nicholas is a masculine given name of Greek origin, commonly used in many cultures and historically borne by numerous saints, rulers, and notable figures.
  • E. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb59258b88190966c18f1f519dad6 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.