Triple

T4227028
Position Surface form Disambiguated ID Type / Status
Subject Peter Falk E94482 entity
Predicate notableWork P4 FINISHED
Object Columbo E123896 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: Columbo | Statement: [Peter Falk, notableWork, Columbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbo
Context triple: [Peter Falk, notableWork, Columbo]
  • A. Columbo chosen
    Columbo is a classic American television crime drama series centered on a seemingly bumbling but brilliant homicide detective known for his trench coat, cigar, and relentless, subtle interrogations.
  • B. Inspector Olivetti
    Inspector Olivetti is a high-ranking Vatican security official in Dan Brown's thriller "Angels & Demons," known for his skeptical, by-the-book approach to the unfolding crisis.
  • C. 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.
  • D. Dick Tracy
    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.
  • E. Detective Riley
    Detective Riley is a supporting police investigator character in the 2016 psychological thriller film "The Girl on the Train," involved in unraveling the central mystery.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e5003008190834726e46df3ee9b completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964a388881908038e5a612424b9b completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.