Triple

T1984469
Position Surface form Disambiguated ID Type / Status
Subject Frederick T. Gates E43108 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: [Frederick T. Gates, familyName, Gates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gates
Context triple: [Frederick T. 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. Gateway
    Gateway was a prominent American personal computer manufacturer known for its cow-spotted boxes and direct-to-consumer PC sales in the 1990s and early 2000s.
  • C. Gateway
    Gateway is a densely populated metropolitan region in northeastern New Jersey that includes cities like Newark and Jersey City and serves as a major economic and transportation hub for the New York City area.
  • D. Great Gate
    The Great Gate is the iconic main entrance to Christ's College, Cambridge, notable for its historic architecture and prominent position on St Andrew's Street.
  • E. Great Gate
    The Great Gate is the grand main entrance to Hanoi’s historic Temple of Literature, marking the ceremonial threshold to Vietnam’s first national university.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb821c2d48190abea6c89f37b51b1 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ad53ccc8190b0e0f44cfddfe9a4 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.