Triple

T624919
Position Surface form Disambiguated ID Type / Status
Subject Frédéric Joliot-Curie E14595 entity
Predicate givenName P17 FINISHED
Object Frédéric E26182 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: Frédéric | Statement: [Frédéric Joliot-Curie, givenName, Frédéric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frédéric
Context triple: [Frédéric Joliot-Curie, givenName, Frédéric]
  • A. Frederic chosen
    Frederic is the given name of Frederic Edwin Church, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • B. Gustave
    Gustave is a masculine given name of French origin, famously borne by engineer Gustave Eiffel.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e43002c81908e0c7dab29b75978 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57b53ea008190be1a797f8d1d6c60 completed March 2, 2026, 11:58 a.m.
Created at: March 1, 2026, 7:35 p.m.