Triple

T10770863
Position Surface form Disambiguated ID Type / Status
Subject Fred Hopkins E254070 entity
Predicate associatedAct P37 FINISHED
Object Air E422054 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: Air | Statement: [Fred Hopkins, associatedAct, Air]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Air
Context triple: [Fred Hopkins, associatedAct, Air]
  • A. Air
    "Air" is a 2023 biographical sports drama film directed by Ben Affleck that chronicles Nike's pursuit of a young Michael Jordan, in which Matt Damon stars as talent scout Sonny Vaccaro.
  • B. Air chosen
    Air is a French electronic music duo known for their atmospheric, downtempo sound and influential albums like "Moon Safari."
  • C. Atmosphere
    "Atmosphere" is a dark, melancholic post-punk song by Joy Division, widely regarded as one of the band's most haunting and iconic tracks.
  • D. Atmosphere
    Atmosphere is an Amway home air treatment brand known for its advanced air purification systems designed to improve indoor air quality.
  • E. Aero
    Aero is a high-performance, sport-oriented trim level used by Saab for its 9-3 and other models, typically featuring more powerful engines and upgraded equipment.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732314bcc8190980c6f698f64ccf5 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55cbbecc81908c2ddf2739ce7ffe completed April 14, 2026, 2:57 p.m.
Created at: April 8, 2026, 9:16 p.m.