Triple

T20049852
Position Surface form Disambiguated ID Type / Status
Subject Federico Diaz E499163 entity
Predicate employer P7 FINISHED
Object Fisher family 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: Fisher family | Statement: [Federico Diaz, employer, Fisher family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fisher family
Context triple: [Federico Diaz, employer, Fisher family]
  • A. Fisher family chosen
    The Fisher family is a prominent philanthropic family known for its significant contributions to real estate, urban economics, and higher education initiatives.
  • B. Fiske family
    The Fiske family is a historically significant family after whom the village of Fiskeville, Rhode Island, was named.
  • C. Farris family
    The Farris family is the maternal family of civil rights leader Martin Luther King Jr., known for its deep roots in Atlanta’s Black religious and civic life.
  • D. Martin family
    The Martin family is a central, long-running fictional family on the soap opera "All My Children," known for its multigenerational storylines and key role in the series' drama.
  • E. Martin family
    The Martin family is the founding family behind AC Martin Partners, a prominent architectural firm known for shaping significant buildings and urban landscapes.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632cccb481908278c8b2930a8c26 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.