Triple

T258390
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Katharine Gates E5486 entity
Predicate familyName P18 FINISHED
Object Gates E17296 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: Gates | Statement: [Jennifer Katharine Gates, familyName, Gates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gates
Context triple: [Jennifer Katharine Gates, familyName, Gates]
  • A. Gates chosen
    Gates is a common English surname most prominently associated with Microsoft co-founder Bill Gates and his family.
  • B. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • C. Lane
    Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • D. 40th Street Portal
    40th Street Portal is a major West Philadelphia transit junction where SEPTA’s subway–surface trolley lines emerge from the underground tunnel to continue on surface streets.
  • E. Hell Gate
    Hell Gate is a narrow, turbulent tidal strait in New York City that connects the East River to the Long Island Sound and is known for its historically treacherous currents.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d703e688190bb86c69527e306f5 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a37959115881908aa902eab1159b0c completed Feb. 28, 2026, 11:25 p.m.
Created at: Feb. 28, 2026, 2:55 a.m.