Triple
T3798684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grown Ups 2 |
E91634
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Tom Costain
Tom Costain is a film editor known for his work on major Hollywood comedies, including the Adam Sandler sequel "Grown Ups 2."
|
E388928
|
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 Costain | Statement: [Grown Ups 2, editedBy, Tom Costain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Costain Context triple: [Grown Ups 2, editedBy, Tom Costain]
-
A.
Ken Lowe
Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
-
B.
Dean Pitchford
Dean Pitchford is an American songwriter, screenwriter, and director best known for co-writing hit songs like "Footloose" and for his work on the film and musical of the same name.
-
C.
Roger D. Branigin
Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
-
D.
John McDonough
John McDonough was an American football official best known for serving as the referee in Super Bowl IV.
-
E.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
- 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 Costain Triple: [Grown Ups 2, editedBy, Tom Costain]
Generated description
Tom Costain is a film editor known for his work on major Hollywood comedies, including the Adam Sandler sequel "Grown Ups 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Costain Target entity description: Tom Costain is a film editor known for his work on major Hollywood comedies, including the Adam Sandler sequel "Grown Ups 2."
-
A.
Ken Lowe
Ken Lowe is an American media executive best known for creating and launching the HGTV cable television network.
-
B.
Dean Pitchford
Dean Pitchford is an American songwriter, screenwriter, and director best known for co-writing hit songs like "Footloose" and for his work on the film and musical of the same name.
-
C.
Roger D. Branigin
Roger D. Branigin was an American lawyer and Democratic politician who served as the 42nd governor of Indiana in the 1960s.
-
D.
John McDonough
John McDonough was an American football official best known for serving as the referee in Super Bowl IV.
-
E.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7a270908190ac30537a22f3d500 |
completed | March 9, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f064471881908b52b2f64e50a83d |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f1fae7ac8190909b05c0d685e377 |
completed | March 14, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f29e5fb48190982ab2844eb8c179 |
completed | March 14, 2026, 5:31 a.m. |
Created at: March 9, 2026, 3:15 p.m.