Triple

T9063716
Position Surface form Disambiguated ID Type / Status
Subject Andrei Konchalovsky E217191 entity
Predicate notableWork P4 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: [Andrei Konchalovsky, notableWork, Tango & Cash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tango & Cash
Context triple: [Andrei Konchalovsky, notableWork, 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. 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.
  • D. Pronto Monto
    Pronto Monto is a 1978 folk-pop album by Canadian singer-songwriters Kate and Anna McGarrigle, known for its lush arrangements and witty, bilingual songwriting.
  • E. Coyote Tango
    Coyote Tango is a heavily armed Japanese Mark-1 Jaeger from the Pacific Rim universe, known for its twin artillery cannons and role in early Kaiju defense.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94b9f28481909e20366b0e3d14aa completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebf8ecb48190b1802b5b41bc7aec completed April 3, 2026, 4:34 p.m.
Created at: March 30, 2026, 7:11 p.m.