Triple

T16766749
Position Surface form Disambiguated ID Type / Status
Subject Gob Bluth E407484 entity
Predicate uses P98 FINISHED
Object Segway E28622 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: Segway | Statement: [Gob Bluth, uses, Segway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Segway
Context triple: [Gob Bluth, uses, Segway]
  • A. Segway PT chosen
    The Segway PT is a self-balancing, two-wheeled personal transporter that became widely known as an innovative but niche urban mobility device.
  • B. Segway Inc.
    Segway Inc. is an American company best known for developing and producing self-balancing personal transporters and related electric mobility devices.
  • C. SCOOTER
    SCOOTER is the radio callsign used by the airline Scoot for its flight operations and air traffic communications.
  • D. Scooter
    Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
  • E. Scooter
    "Scooter" is the informal nickname given to the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0330d6081908ce99f14c70b90f2 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a531ea7c81908630f16f6c685d49 completed May 10, 2026, 3:33 p.m.
Created at: April 10, 2026, 5:21 a.m.