Triple

T12822420
Position Surface form Disambiguated ID Type / Status
Subject John Warne Gates E306562 entity
Predicate hasFamilyName 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: [John Warne Gates, hasFamilyName, Gates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gates
Context triple: [John Warne Gates, hasFamilyName, Gates]
  • A. Gates
    Gates is a small city in western Oregon, United States, located in the Santiam Canyon along the North Santiam River.
  • B. Gates chosen
    Gates is a common English surname most prominently associated with Microsoft co-founder Bill Gates and his family.
  • C. Mweka Gate
    Mweka Gate is a primary descent and exit point on Mount Kilimanjaro, commonly used by climbers finishing popular summit routes.
  • D. Gateside
    Gateside is a small rural village located within the Angus council area in eastern Scotland.
  • E. The Gates
    The Gates is a supernatural drama television series centered on a seemingly idyllic gated community inhabited by vampires, werewolves, and other paranormal beings.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9fcc8c8190a926ab0481d28f14 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ed337248190a007fe18c6379910 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:32 p.m.