Triple

T9328888
Position Surface form Disambiguated ID Type / Status
Subject Robert Wagner E224464 entity
Predicate notableRole P22 FINISHED
Object Pete Ryan in Switch
Pete Ryan in "Switch" is a suave, streetwise private investigator character portrayed by Robert Wagner in the 1970s television detective series.
E791965 NE FINISHED

How this triple was built (4 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: Pete Ryan in Switch | Statement: [Robert Wagner, notableRole, Pete Ryan in Switch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pete Ryan in Switch
Context triple: [Robert Wagner, notableRole, Pete Ryan in Switch]
  • A. Pete Campbell
    Pete Campbell is an ambitious and often morally conflicted advertising account executive in the television drama series "Mad Men."
  • B. Sam Ryan
    Sam Ryan is the central forensic pathologist and early lead character in the British crime drama series "Silent Witness."
  • C. P.J. Pete
    P.J. Pete is a recurring Disney cartoon character, typically portrayed as the teenage son of Pete and friend of Goofy’s son Max in the Goof Troop and related media.
  • D. Pete
    Pete is a central figure in Stephen Crane’s novella "Maggie: A Girl of the Streets," representing the rough, working-class masculinity of New York’s Bowery slums.
  • E. Pete
    Pete is a common masculine given name, typically used as a familiar or informal form of the name Peter.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pete Ryan in Switch
Triple: [Robert Wagner, notableRole, Pete Ryan in Switch]
Generated description
Pete Ryan in "Switch" is a suave, streetwise private investigator character portrayed by Robert Wagner in the 1970s television detective series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pete Ryan in Switch
Target entity description: Pete Ryan in "Switch" is a suave, streetwise private investigator character portrayed by Robert Wagner in the 1970s television detective series.
  • A. Pete Campbell
    Pete Campbell is an ambitious and often morally conflicted advertising account executive in the television drama series "Mad Men."
  • B. Sam Ryan
    Sam Ryan is the central forensic pathologist and early lead character in the British crime drama series "Silent Witness."
  • C. P.J. Pete
    P.J. Pete is a recurring Disney cartoon character, typically portrayed as the teenage son of Pete and friend of Goofy’s son Max in the Goof Troop and related media.
  • D. Pete
    Pete is the well-known nickname of Confederate General James Longstreet, one of Robert E. Lee’s principal corps commanders during the American Civil War.
  • E. Pete
    Pete is a central figure in Stephen Crane’s novella "Maggie: A Girl of the Streets," representing the rough, working-class masculinity of New York’s Bowery slums.
  • F. None of above. chosen

Provenance (5 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7f345d88190912b0f10e7ab68be completed April 4, 2026, 8:12 a.m.
NEDg Description generation batch_69d0c93366c481909eca1ae2272433c9 completed April 4, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_69d0c9a9e6508190815a9988bd38da9b completed April 4, 2026, 8:19 a.m.
Created at: March 30, 2026, 7:39 p.m.