Triple

T16019645
Position Surface form Disambiguated ID Type / Status
Subject Masson E388565 entity
Predicate hasNotableBearer P458 FINISHED
Object Georges Masson 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: Georges Masson | Statement: [Masson, hasNotableBearer, Georges Masson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georges Masson
Context triple: [Masson, hasNotableBearer, Georges Masson]
  • A. Georges Masson chosen
    Georges Masson was a French military officer who played a leading role in the Free French campaign in Gabon during World War II.
  • B. Albert Le Breton
    Albert Le Breton was a French nobleman and royal official who served as Chancellor of France under King Philip II Augustus in the late 12th and early 13th centuries.
  • C. Maurice Rossel
    Maurice Rossel was a Swiss Red Cross official best known for his controversial 1944 inspection of the Theresienstadt concentration camp, whose misleadingly positive report was later criticized for aiding Nazi propaganda.
  • D. Marcel Bezençon
    Marcel Bezençon was a Swiss journalist and media executive best known as the founder of the Eurovision Song Contest.
  • E. Henri Decaë
    Henri Decaë was a renowned French cinematographer celebrated for his influential work on mid-20th-century European cinema, particularly within the French New Wave.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183222e4c81909a3ab51446b671bd completed April 17, 2026, 12:47 a.m.
Created at: April 10, 2026, 4:55 a.m.