Triple

T14535085
Position Surface form Disambiguated ID Type / Status
Subject Harold Faltermeyer E341021 entity
Predicate workedOn P3 FINISHED
Object Tango & Cash E725559 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: Tango & Cash | Statement: [Harold Faltermeyer, workedOn, Tango & Cash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tango & Cash
Context triple: [Harold Faltermeyer, workedOn, Tango & Cash]
  • A. Tango & Cash chosen
    Tango & Cash is a 1989 action buddy-cop film starring Sylvester Stallone and Kurt Russell as rival Los Angeles detectives who team up to clear their names after being framed.
  • B. One Man Tango
    One Man Tango is the autobiography of actor Anthony Quinn, in which he reflects on his life, career, and personal struggles.
  • C. 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."
  • D. Three to Tango
    Three to Tango is a 1999 romantic comedy film starring Matthew Perry as an architect mistaken for a gay man while falling for his client’s girlfriend.
  • E. 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.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1b9d39881908c7a3a5b17d432af completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab414dc8190a233185068cfb8ff completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.