Triple

T12778443
Position Surface form Disambiguated ID Type / Status
Subject Roderick Chisholm E305438 entity
Predicate influenced P9 FINISHED
Object Ernest Sosa E727418 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: Ernest Sosa | Statement: [Roderick Chisholm, influenced, Ernest Sosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernest Sosa
Context triple: [Roderick Chisholm, influenced, Ernest Sosa]
  • A. Ernst Sosa chosen
    Ernst Sosa is a prominent contemporary philosopher best known for his influential work in epistemology, particularly virtue epistemology and the theory of knowledge.
  • B. José Ybarra-Jaegar
    José Ybarra-Jaegar is a minor character in Truman Capote’s novella "Breakfast at Tiffany’s," appearing within Holly Golightly’s New York social circle.
  • C. Francisco Varela
    Francisco Varela was a Chilean biologist, neuroscientist, and philosopher known for his work on autopoiesis, cognitive science, and the enactive approach to consciousness.
  • D. José Enrique Varela
    José Enrique Varela was a Spanish Nationalist general and prominent military leader during the Spanish Civil War.
  • E. Jorge F. Guillemín
    Jorge F. Guillemín is an archaeologist known for his excavation work at the ancient Mesoamerican site of Kaminaljuyú in Guatemala.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e595e008190b42dff3012d17d66 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f685013e0481908db09302a2ced207 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.