Triple

T14213864
Position Surface form Disambiguated ID Type / Status
Subject Nicola Shindler E352297 entity
Predicate notableWork P4 FINISHED
Object Happy Valley E402812 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: Happy Valley | Statement: [Nicola Shindler, notableWork, Happy Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy Valley
Context triple: [Nicola Shindler, notableWork, Happy Valley]
  • A. Happy Valley
    Happy Valley is a residential community that forms part of the town of Happy Valley-Goose Bay in Labrador, Canada.
  • B. Happy Valley chosen
    Happy Valley is a critically acclaimed British crime drama television series centered on a strong-willed police sergeant in a small Yorkshire town.
  • C. Happy Valley
    Happy Valley is a natural area located within Arizona’s Rincon Mountains, known for its rugged desert landscape and outdoor recreation opportunities.
  • D. Happy Valley
    Happy Valley is a residential and entertainment district on Hong Kong Island best known for its historic racecourse and central urban location.
  • E. Happy Valley
    Happy Valley is the popular nickname for the area surrounding Pennsylvania State University's main campus in University Park, Pennsylvania, known for its vibrant college-town atmosphere and strong school spirit.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1959f3d481909c15730bbd6f4748 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:06 a.m.