Triple

T14307722
Position Surface form Disambiguated ID Type / Status
Subject Tiffani Thiessen E354739 entity
Predicate televisionSeries P3279 FINISHED
Object Fastlane E345545 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: Fastlane | Statement: [Tiffani Thiessen, televisionSeries, Fastlane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fastlane
Context triple: [Tiffani Thiessen, televisionSeries, Fastlane]
  • A. Fastlane chosen
    Fastlane is an early-2000s American action-crime television series known for its flashy style, high-octane car chases, and undercover cop storyline.
  • B. Fastlane
    Fastlane is a swipe-accessible activity stream interface on Nokia Asha devices that presents recent apps, notifications, and social updates in a single, timeline-like view.
  • C. Fast Lane
    Fast Lane is a super-speed ability that allows its user to move and react at extraordinarily accelerated rates compared to normal beings.
  • D. Fastiv
    Fastiv is a historic city in northern Ukraine known as a regional railway hub and industrial center southwest of Kyiv.
  • E. Quickway
    Quickway is a major limited-access highway corridor in New York State that carries much of the traffic of NY Route 17 and forms a key east–west route across the southern part of the state.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b156b0819083f2bd319deed1b6 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2c32648190bc8bb26d57df57f5 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:12 a.m.