Triple
T3672803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caddyshack |
E77917
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Danny Noonan
Danny Noonan is the young, ambitious golf caddie who serves as the central protagonist in the comedy film "Caddyshack."
|
E418061
|
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: Danny Noonan | Statement: [Caddyshack, mainCharacter, Danny Noonan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Noonan Context triple: [Caddyshack, mainCharacter, Danny Noonan]
-
A.
Tom Noonan
Tom Noonan is an American character actor, writer, and director known for his distinctive, often menacing roles in films such as "Manhunter," "Last Action Hero," and "Synecdoche, New York."
-
B.
Kevin Edward Noonan
Kevin Edward Noonan is the former husband of U.S. Supreme Court Justice Sonia Sotomayor, to whom she was married from 1976 to 1983.
-
C.
Tom Doherty
Tom Doherty is an American publisher best known as the founder of the science fiction and fantasy imprint Tor Books.
-
D.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
E.
Kevin Corrigan
Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
- 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: Danny Noonan Triple: [Caddyshack, mainCharacter, Danny Noonan]
Generated description
Danny Noonan is the young, ambitious golf caddie who serves as the central protagonist in the comedy film "Caddyshack."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Noonan Target entity description: Danny Noonan is the young, ambitious golf caddie who serves as the central protagonist in the comedy film "Caddyshack."
-
A.
Tom Noonan
Tom Noonan is an American character actor, writer, and director known for his distinctive, often menacing roles in films such as "Manhunter," "Last Action Hero," and "Synecdoche, New York."
-
B.
Kevin Edward Noonan
Kevin Edward Noonan is the former husband of U.S. Supreme Court Justice Sonia Sotomayor, to whom she was married from 1976 to 1983.
-
C.
Tom Doherty
Tom Doherty is an American publisher best known as the founder of the science fiction and fantasy imprint Tor Books.
-
D.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
E.
Kevin Corrigan
Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
- 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_69b57f0989c88190b4c675c7a6ec0e3e |
completed | March 14, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_69b57f7f7b9481909d61a79b168a893d |
completed | March 14, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b57ff830a4819088c3477624f1c148 |
completed | March 14, 2026, 3:34 p.m. |
Created at: March 8, 2026, 3:25 p.m.