Triple

T12930515
Position Surface form Disambiguated ID Type / Status
Subject Howard Bilerman E309363 entity
Predicate coFounded P104 FINISHED
Object Hotel2Tango E1011453 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: Hotel2Tango | Statement: [Howard Bilerman, coFounded, Hotel2Tango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hotel2Tango
Context triple: [Howard Bilerman, coFounded, Hotel2Tango]
  • A. Hotel2Tango chosen
    Hotel2Tango is a renowned Montreal recording studio and creative hub closely associated with the city’s indie and experimental music scene.
  • B. tango
    Tango is a passionate and dramatic partner dance and musical style that originated in the working-class neighborhoods of Buenos Aires and Montevideo in the late 19th century.
  • C. TANGO
    TANGO is a family of modern light rail and tram vehicles produced by the Swiss rolling stock manufacturer Stadler Rail.
  • D. Calera de Tango
    Calera de Tango is a semi-rural commune and town in central Chile known for its agricultural activity and proximity to Santiago.
  • E. Tango in the Night
    Tango in the Night is a 1987 studio album by British-American rock band Fleetwood Mac, known for its polished pop-rock sound and hit singles like "Big Love" and "Little Lies."
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97245b6408190816d9b7e314eb51a completed April 10, 2026, 9:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d58a0c8190b96252f04fdf1256 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:42 p.m.