Triple

T13064630
Position Surface form Disambiguated ID Type / Status
Subject Robert Wilder E329287 entity
Predicate wrote P2831 FINISHED
Object Flamingo Road E208469 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: Flamingo Road | Statement: [Robert Wilder, wrote, Flamingo Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flamingo Road
Context triple: [Robert Wilder, wrote, 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. 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.
  • D. El Portal Road
    El Portal Road is a scenic highway in California that winds through the Merced River canyon, serving as a primary access route to Yosemite National Park.
  • E. White Oak Avenue
    White Oak Avenue is a prominent north–south thoroughfare in the Encino neighborhood of Los Angeles, known for its residential character and local commercial stretches.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d6016984819097c999772db1e831 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:59 p.m.