Triple

T20668476
Position Surface form Disambiguated ID Type / Status
Subject Peter Cable E507953 entity
Predicate kills P19780 FINISHED
Object Tom Gruneman
Tom Gruneman is a fictional murder victim whose death drives the mystery in the 1968 neo-noir film "The Detective."
 E1447617 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: Tom Gruneman | Statement: [Peter Cable, kills, Tom Gruneman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Gruneman
Context triple: [Peter Cable, kills, Tom Gruneman]
  • A. John Geddert
    John Geddert was an American gymnastics coach best known for leading the U.S. women’s team to gold at the 2012 London Olympics and later facing numerous abuse-related criminal charges.
  • B. Jerry Grote
    Jerry Grote was a standout defensive catcher and key contributor for the New York Mets during their 1969 World Series championship season.
  • C. Don Ressler
    Don Ressler is an American entrepreneur and co-founder of several online fashion and e-commerce ventures, best known for building subscription-based retail brands.
  • D. Tom Leppert
    Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
  • E. Tom Grunick
    Tom Grunick is a charismatic but somewhat shallow television news anchor in the film "Broadcast News," whose rise in the newsroom challenges traditional journalistic values.
  • 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: Tom Gruneman
Triple: [Peter Cable, kills, Tom Gruneman]
Generated description
Tom Gruneman is a fictional murder victim whose death drives the mystery in the 1968 neo-noir film "The Detective."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Gruneman
Target entity description: Tom Gruneman is a fictional murder victim whose death drives the mystery in the 1968 neo-noir film "The Detective."
  • A. John Geddert
    John Geddert was an American gymnastics coach best known for leading the U.S. women’s team to gold at the 2012 London Olympics and later facing numerous abuse-related criminal charges.
  • B. Jerry Grote
    Jerry Grote was a standout defensive catcher and key contributor for the New York Mets during their 1969 World Series championship season.
  • C. Don Ressler
    Don Ressler is an American entrepreneur and co-founder of several online fashion and e-commerce ventures, best known for building subscription-based retail brands.
  • D. Tom Leppert
    Tom Leppert is an American businessman and politician who served as the mayor of Dallas, Texas, and later ran for the U.S. Senate.
  • E. Tom Grunick
    Tom Grunick is a charismatic but somewhat shallow television news anchor in the film "Broadcast News," whose rise in the newsroom challenges traditional journalistic values.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c60a2481908ae3764bc12454e0 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08e0430ea48190b0ce649e7675c965 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e3c71e308190a3083985274e6af5 completed May 16, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a08e43291f48190bd8966ac2b8df38f completed May 16, 2026, 9:40 p.m.
Created at: April 16, 2026, 11:44 a.m.