Triple

T14751487
Position Surface form Disambiguated ID Type / Status
Subject Billy Black E346617 entity
Predicate residence P75 FINISHED
Object La Push E233903 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: La Push | Statement: [Billy Black, residence, La Push]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Push
Context triple: [Billy Black, residence, La Push]
  • A. La Push chosen
    La Push is a small coastal community and Quileute tribal village on Washington State’s Pacific coast, known for its rugged beaches, surf, and proximity to Olympic National Park.
  • B. Nanapush
    Nanapush is a wise, humorous Ojibwe elder and central storyteller in Louise Erdrich’s novels, particularly known for preserving tribal history and culture through his narratives.
  • C. La Pila
    La Pila is a small village on Elba Island in Tuscany, Italy, forming one of the hamlets of the municipality of Campo nell’Elba.
  • D. The Pas
    The Pas is a northern Manitoba town known as a regional service and transportation hub with strong Indigenous heritage and a history rooted in fur trading and resource industries.
  • E. The Van
    "The Van" is a 1996 Irish comedy-drama film, based on Roddy Doyle’s novel, about two friends who start a fish-and-chip van business in Dublin after one of them loses his job.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9a56a08190b6a178cd930a072d completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.