Triple
T23349636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kicking and Screaming |
E591968
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Joel Castleberg
Joel Castleberg is a film producer best known for his work on the sports comedy movie "Kicking and Screaming."
|
E1582086
|
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: Joel Castleberg | Statement: [Kicking and Screaming, producer, Joel Castleberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Castleberg Context triple: [Kicking and Screaming, producer, Joel Castleberg]
-
A.
Joel Fram
Joel Fram is a prominent musical director and supervisor known for his work on major theatre productions in London’s West End and on Broadway.
-
B.
Eric Bergstol
Eric Bergstol is an American golf course architect known for designing high-end, links-style courses in the New York metropolitan area.
-
C.
Joel Gallen
Joel Gallen is an American film and television producer and director best known for his work on high-profile comedy specials and live event broadcasts.
-
D.
Erik Bergquist
Erik Bergquist is a screenwriter best known for co-writing the original 2001 action film "The Fast and the Furious."
-
E.
Daniel Nannskog
Daniel Nannskog is a retired Swedish striker best known for his prolific goal-scoring spell at Norwegian club Stabæk Fotball and later work as a football pundit.
- 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: Joel Castleberg Triple: [Kicking and Screaming, producer, Joel Castleberg]
Generated description
Joel Castleberg is a film producer best known for his work on the sports comedy movie "Kicking and Screaming."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joel Castleberg Target entity description: Joel Castleberg is a film producer best known for his work on the sports comedy movie "Kicking and Screaming."
-
A.
Joel Fram
Joel Fram is a prominent musical director and supervisor known for his work on major theatre productions in London’s West End and on Broadway.
-
B.
Eric Bergstol
Eric Bergstol is an American golf course architect known for designing high-end, links-style courses in the New York metropolitan area.
-
C.
Joel Gallen
Joel Gallen is an American film and television producer and director best known for his work on high-profile comedy specials and live event broadcasts.
-
D.
Erik Bergquist
Erik Bergquist is a screenwriter best known for co-writing the original 2001 action film "The Fast and the Furious."
-
E.
Daniel Nannskog
Daniel Nannskog is a retired Swedish striker best known for his prolific goal-scoring spell at Norwegian club Stabæk Fotball and later work as a football pundit.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a132da08190b30de610d34c96cc |
completed | April 29, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4cbbbf388190a2ec51bb06690168 |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c59a18c5481909662cd338b797340 |
completed | May 19, 2026, 12:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5a57cfb88190bb4e7f65807639b6 |
completed | May 19, 2026, 12:40 p.m. |
Created at: April 17, 2026, 5:19 p.m.