Triple

T13230245
Position Surface form Disambiguated ID Type / Status
Subject Donna Moss E314994 entity
Predicate hasBoss P40430 FINISHED
Object Matt Santos E129312 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: Matt Santos | Statement: [Donna Moss, hasBoss, Matt Santos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Santos
Context triple: [Donna Moss, hasBoss, Matt Santos]
  • A. Matt Santos chosen
    Matt Santos is a fictional U.S. congressman who becomes President in the television series "The West Wing."
  • B. Jared Huffman
    Jared Huffman is a Democratic U.S. Representative from California known for his work on environmental protection, public lands, and progressive policy issues.
  • C. Alex Padilla
    Alex Padilla is a Democratic U.S. Senator from California and the state's first Latino senator, appointed in 2021 to fill the seat vacated when Kamala Harris became vice president.
  • D. Enrique Menéndez
    Enrique Menéndez is a notable individual who bears the Spanish surname Menéndez, recognized for his prominence among people with that name.
  • E. Anthony Capuano
    Anthony Capuano is an American business executive who serves as the chief executive officer of Marriott International, one of the world’s largest hotel companies.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d336ae08190bfc118cfbefddf84 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a35ccc88190881a7066b7af8fea completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:21 p.m.