Triple

T3672812
Position Surface form Disambiguated ID Type / Status
Subject Caddyshack E77917 entity
Predicate castMember P1668 FINISHED
Object Michael O’Keefe
Michael O’Keefe is an American actor best known for his role as young caddie Danny Noonan in the classic comedy film "Caddyshack."
E377599 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: Michael O’Keefe | Statement: [Caddyshack, castMember, Michael O’Keefe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael O’Keefe
Context triple: [Caddyshack, castMember, Michael O’Keefe]
  • A. Tom Kilpatrick
    Tom Kilpatrick was a screenwriter best known for his work on the 1940 science fiction horror film "Dr. Cyclops."
  • B. Richard J. Donovan
    Richard J. Donovan was a California legislator and public servant after whom the Richard J. Donovan Correctional Facility in San Diego County is named.
  • C. Brian Rogers
    Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
  • D. Tom Ryan
    Tom Ryan is the central protagonist of the television series "The Unit," depicted as a highly skilled and seasoned leader of an elite U.S. Army special operations team.
  • E. Ken Powell
    Ken Powell is an American business executive best known for serving as the former chairman and CEO of General Mills.
  • 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: Michael O’Keefe
Triple: [Caddyshack, castMember, Michael O’Keefe]
Generated description
Michael O’Keefe is an American actor best known for his role as young caddie Danny Noonan in the classic comedy film "Caddyshack."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael O’Keefe
Target entity description: Michael O’Keefe is an American actor best known for his role as young caddie Danny Noonan in the classic comedy film "Caddyshack."
  • A. Tom Kilpatrick
    Tom Kilpatrick was a screenwriter best known for his work on the 1940 science fiction horror film "Dr. Cyclops."
  • B. Richard J. Donovan
    Richard J. Donovan was a California legislator and public servant after whom the Richard J. Donovan Correctional Facility in San Diego County is named.
  • C. Brian Rogers
    Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
  • D. Tom Ryan
    Tom Ryan is the central protagonist of the television series "The Unit," depicted as a highly skilled and seasoned leader of an elite U.S. Army special operations team.
  • E. Ken Powell
    Ken Powell is an American business executive best known for serving as the former chairman and CEO of General Mills.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42f82548190b4d5f0fe7250decb completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b488526214819092abb95f7cf119d5 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b48acb7dfc8190a862dce9a22c5c8f completed March 13, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b4af280b688190a35a227f7581a9ae completed March 14, 2026, 12:43 a.m.
Created at: March 8, 2026, 3:25 p.m.