Triple

T20406953
Position Surface form Disambiguated ID Type / Status
Subject Hatch Recital Hall E500491 entity
Predicate namedAfter P63 FINISHED
Object Hatch (namesake family or donor) 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: Hatch (namesake family or donor) | Statement: [Hatch Recital Hall, namedAfter, Hatch (namesake family or donor)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatch (namesake family or donor)
Context triple: [Hatch Recital Hall, namedAfter, Hatch (namesake family or donor)]
  • A. Hatch Warren
    Hatch Warren is a residential suburb located on the southwestern edge of Basingstoke in Hampshire, England.
  • B. Hatch chosen
    Hatch is a surname most prominently associated with Orrin Hatch, the long-serving U.S. senator from Utah.
  • C. Hatch Labs
    Hatch Labs is a mobile technology incubator and startup studio best known for creating the popular dating app Tinder.
  • D. Namba Hatch
    Namba Hatch is a distinctive riverside live music and event venue in Osaka, Japan, known for its modern, ship-like architecture and frequent concerts.
  • E. Helyett–Fynsec–Hutchinson
    Helyett–Fynsec–Hutchinson was a mid-20th-century professional French road cycling team known for competing in major European races with prominent riders such as Jean Stablinski.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67993dc7081908ebd54ec92e712ea completed April 20, 2026, 7:08 p.m.
Created at: April 16, 2026, 11:29 a.m.