Triple

T3166887
Position Surface form Disambiguated ID Type / Status
Subject Madonna E66231 entity
Predicate notableWork P4 FINISHED
Object Dick Tracy (film) E125978 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: Dick Tracy (film) | Statement: [Madonna, notableWork, Dick Tracy (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Tracy (film)
Context triple: [Madonna, notableWork, Dick Tracy (film)]
  • A. Dick Tracy chosen
    Dick Tracy is a classic American comic-strip detective character known for his distinctive yellow trench coat, two-way wrist radio, and crime-fighting adventures against colorful villains.
  • B. Dirty Harry
    Dirty Harry is a music producer best known for his work on Alicia Keys' album "The Element of Freedom."
  • C. Dirty Harry
    Dirty Harry is a 1971 American neo-noir crime thriller film starring Clint Eastwood as a tough San Francisco police inspector who relentlessly pursues a psychopathic killer.
  • D. Serpico
    Serpico is a 1973 crime drama film based on the true story of NYPD officer Frank Serpico, who exposed widespread police corruption.
  • E. Kojak
    Kojak is a 1970s American television crime drama series centered on the tough, lollipop-licking New York City detective Theo Kojak, played by Telly Savalas.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada643e3e481908f4526d66e36e150 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e108cc81909d5733bd00cb0bee completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.