Triple

T20651797
Position Surface form Disambiguated ID Type / Status
Subject Tyrannosaur E507512 entity
Predicate filmingLocation P40 FINISHED
Object Wakefield 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: Wakefield | Statement: [Tyrannosaur, filmingLocation, Wakefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wakefield
Context triple: [Tyrannosaur, filmingLocation, Wakefield]
  • A. Wakefield chosen
    Wakefield is a historic cathedral city in West Yorkshire, Northern England, known for its medieval heritage and role as an administrative and commercial center in the region.
  • B. Wakefield
    Wakefield is a small rural township in New Zealand’s Tasman District, located southwest of Nelson and serving as a local service and farming community.
  • C. Wakefield
    Wakefield is a residential neighborhood in the northern Bronx in New York City, known for its diverse community and mix of single- and multi-family homes.
  • D. Wakefield
    Wakefield is a residential neighborhood in the northern Bronx of New York City known for its diverse community and mix of single- and multi-family homes.
  • E. Wakefield
    Wakefield is a 2016 drama film starring Bryan Cranston as a successful lawyer who abruptly abandons his life to secretly observe his family from hiding, exploring themes of identity, isolation, and self-discovery.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af21e87c8190835bf2b2ef195626 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.