Triple

T9578285
Position Surface form Disambiguated ID Type / Status
Subject Stephen W. Rochon E231103 entity
Predicate familyName P18 FINISHED
Object Rochon E231103 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: Rochon | Statement: [Stephen W. Rochon, familyName, Rochon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rochon
Context triple: [Stephen W. Rochon, familyName, Rochon]
  • A. Rochon chosen
    Rochon is a French-origin surname borne by various notable individuals in fields such as entertainment, science, and public service.
  • B. Roure
    Roure is a small mountain commune in southeastern France, located in the Alpes-Maritimes department within the Provence-Alpes-Côte d’Azur region.
  • C. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • D. Chaloub
    Chaloub is a surname of likely Arabic origin, used as a transliteration variant of the name Chalhub.
  • E. Chastre
    Chastre is a municipality in central Belgium known for its rural character and location within the province of Walloon Brabant.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99aece1081908287e03106de020f completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af53434c8190a93fec3538730d58 completed April 5, 2026, 12:39 a.m.
Created at: March 30, 2026, 8:05 p.m.