Triple

T8359587
Position Surface form Disambiguated ID Type / Status
Subject Harold Hotelling E196771 entity
Predicate familyName P18 FINISHED
Object Hotelling E196771 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: Hotelling | Statement: [Harold Hotelling, familyName, Hotelling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotelling
Context triple: [Harold Hotelling, familyName, Hotelling]
  • A. Hotelling chosen
    Hotelling is a surname most notably associated with Harold Hotelling, an influential American statistician and economist known for Hotelling's law and contributions to multivariate analysis.
  • B. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • C. Heissler
    Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
  • D. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • E. The Englert
    The Englert is a historic performing arts venue in Iowa City, Iowa, hosting live music, theater, film, and community events.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb807134008190b4671326e0414210 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc76d49c881909e8e93b8f7d940df completed April 2, 2026, 1:33 a.m.
Created at: March 30, 2026, 6 p.m.