Triple

T19527430
Position Surface form Disambiguated ID Type / Status
Subject Tyler McVey E488562 entity
Predicate notableWork P4 FINISHED
Object Dragnet NE NERFINISHED

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: Dragnet | Statement: [Tyler McVey, notableWork, Dragnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dragnet
Context triple: [Tyler McVey, notableWork, Dragnet]
  • A. Dragnet
    Dragnet is a 1987 comedy crime film that parodies the classic police procedural TV series, starring Dan Aykroyd and Tom Hanks as mismatched Los Angeles detectives.
  • B. Dragnet (television series)
    Dragnet is a pioneering American police procedural television series that follows the methodical investigations of LAPD Sergeant Joe Friday in Los Angeles.
  • C. Detective Squad
    Detective Squad is a specialized unit within a police department responsible for investigating crimes and conducting follow-up criminal inquiries.
  • D. Dragnet (radio series) chosen
    Dragnet (radio series) is a pioneering American police procedural drama that followed the realistic investigations of LAPD Sergeant Joe Friday and helped define the crime genre in mid-20th-century broadcasting.
  • E. CHiPs
    CHiPs is an American television drama series from the late 1970s and early 1980s that follows the adventures of two motorcycle officers of the California Highway Patrol.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6363c2660819093a6b9a444ca0ad4 completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.