Triple

T6596388
Position Surface form Disambiguated ID Type / Status
Subject Lycée Pothier E148485 entity
Predicate hasNotableAlumni P51 FINISHED
Object Jean Zay E15702 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: Jean Zay | Statement: [Lycée Pothier, hasNotableAlumni, Jean Zay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Zay
Context triple: [Lycée Pothier, hasNotableAlumni, Jean Zay]
  • A. Jean Zay chosen
    Jean Zay was a French politician and Minister of National Education and Fine Arts in the 1930s, noted for his major contributions to French culture and the arts.
  • B. Paul Doumer
    Paul Doumer was a French statesman who served as Governor-General of French Indochina and later as President of France from 1931 until his assassination in 1932.
  • C. Jacques Duèze
    Jacques Duèze, later known as Pope John XXII, was a 14th-century French pope of the Avignon Papacy noted for his centralization of church authority and involvement in political conflicts with secular rulers.
  • D. Pierre Jean Édouard Desor
    Pierre Jean Édouard Desor was a 19th-century Swiss geologist and naturalist known for his pioneering work in glaciology and Alpine exploration.
  • E. Édouard Castres
    Édouard Castres was a Swiss painter and illustrator best known for his depictions of the Franco-Prussian War and scenes of humanitarian relief, particularly involving the Red Cross.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeecdd4c819092b87f4c91883154 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42fc9ec8190a6bb19010337d516 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:56 p.m.