Triple

T20035176
Position Surface form Disambiguated ID Type / Status
Subject David Brian E497236 entity
Predicate notableWork P4 FINISHED
Object Flamingo Road NE NERFINISHED

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: Flamingo Road | Statement: [David Brian, notableWork, Flamingo Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flamingo Road
Context triple: [David Brian, notableWork, Flamingo Road]
  • A. Flamingo Road chosen
    Flamingo Road is a 1949 film noir drama in which Sydney Greenstreet plays a powerful and corrupt Southern political boss.
  • B. Flamingo Road
    Flamingo Road is a prominent east–west thoroughfare in the Las Vegas Valley, known for running just south of the Las Vegas Strip and connecting key commercial and residential areas.
  • C. Upland Road
    Upland Road is a street in Auckland, New Zealand, known for providing access to the scenic Orakei Basin and its surrounding residential area.
  • D. Rainbow Road
    Rainbow Road is an iconic, brightly colored, space-set racetrack from the Mario Kart series known for its challenging layout and lack of guardrails.
  • E. Dominion Road
    Dominion Road is a major arterial road in Auckland, New Zealand, known for its diverse eateries, vibrant multicultural character, and role as a key transport corridor through several central suburbs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e76f8481909c006921cbbfd060 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.