Triple
T3673130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meatballs |
E77924
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
Donald Wilder
Donald Wilder is a cinematographer best known for his work on the comedy film "Meatballs."
|
E377413
|
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: Donald Wilder | Statement: [Meatballs, cinematography, Donald Wilder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Wilder Context triple: [Meatballs, cinematography, Donald Wilder]
-
A.
Bill Dobson
Bill Dobson is a troubled, charismatic English professor whose personal and professional unraveling drives much of the dark comedy and drama in the Netflix series "The Chair."
-
B.
Robert Michael Bellotti
Robert Michael "Mike" Bellotti is an American former college football coach and athletic director best known for his long tenure leading the University of Oregon Ducks football program.
-
C.
Red Miller
Red Miller was an American football coach best known for leading the Denver Broncos to their first Super Bowl appearance in the 1977 season.
-
D.
Frank Richard Wells
Frank Richard Wells was a son of the famed English writer H. G. Wells.
-
E.
Jerome Cavanagh
Jerome Cavanagh was a liberal Democratic politician who served as mayor of Detroit in the 1960s, known for his early civil rights advocacy and for leading the city during the 1967 Detroit uprising.
- 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: Donald Wilder Triple: [Meatballs, cinematography, Donald Wilder]
Generated description
Donald Wilder is a cinematographer best known for his work on the comedy film "Meatballs."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald Wilder Target entity description: Donald Wilder is a cinematographer best known for his work on the comedy film "Meatballs."
-
A.
Bill Dobson
Bill Dobson is a troubled, charismatic English professor whose personal and professional unraveling drives much of the dark comedy and drama in the Netflix series "The Chair."
-
B.
Robert Michael Bellotti
Robert Michael "Mike" Bellotti is an American former college football coach and athletic director best known for his long tenure leading the University of Oregon Ducks football program.
-
C.
Red Miller
Red Miller was an American football coach best known for leading the Denver Broncos to their first Super Bowl appearance in the 1977 season.
-
D.
Frank Richard Wells
Frank Richard Wells was a son of the famed English writer H. G. Wells.
-
E.
Jerome Cavanagh
Jerome Cavanagh was a liberal Democratic politician who served as mayor of Detroit in the 1960s, known for his early civil rights advocacy and for leading the city during the 1967 Detroit uprising.
- 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_69b48854a2308190ba6a9fc39929b35c |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48b48c5f48190b9db5f3feca08e0e |
completed | March 13, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4af0410e8819091cb1259d06d60cc |
completed | March 14, 2026, 12:42 a.m. |
Created at: March 8, 2026, 3:25 p.m.