Triple

T2224987
Position Surface form Disambiguated ID Type / Status
Subject Walter A. Haas Sr. E48628 entity
Predicate familyName P18 FINISHED
Object Haas E239533 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: Haas | Statement: [Walter A. Haas Sr., familyName, Haas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haas
Context triple: [Walter A. Haas Sr., familyName, Haas]
  • A. Haas chosen
    Haas is a German-origin surname borne by numerous individuals worldwide, including several notable figures in fields such as sports, science, and the arts.
  • B. Haas F1 Team
    Haas F1 Team is an American-owned Formula One racing team that competes in the FIA Formula One World Championship.
  • C. Dallara
    Dallara is an Italian race car manufacturer renowned for designing and building chassis for top-level motorsport series worldwide, including IndyCar.
  • D. Mercedes
    Mercedes is a courageous and compassionate housekeeper who secretly aids the Spanish Maquis resistance in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
  • E. Ferrari
    Ferrari is an Italian luxury sports car manufacturer renowned for its high-performance vehicles, racing heritage, and iconic prancing horse emblem.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03ec3788190b5ae32201364f7ab completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6562c9448190b53c068c900bf0bf completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:47 p.m.