Triple
T17239054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JFK (1991 film) |
E418439
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Zachary Sklar
Zachary Sklar is an American screenwriter and journalist best known for co-writing Oliver Stone’s political thriller film "JFK."
|
E1259569
|
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: Zachary Sklar | Statement: [JFK (1991 film), screenwriter, Zachary Sklar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zachary Sklar Context triple: [JFK (1991 film), screenwriter, Zachary Sklar]
-
A.
Matthew Sklar
Matthew Sklar is an American composer best known for his work on Broadway musicals, including the stage adaptation of "The Wedding Singer."
-
B.
Zach Baylin
Zach Baylin is an American screenwriter best known for his work on acclaimed sports dramas such as King Richard and Creed III.
-
C.
Michael Zaslow
Michael Zaslow was an American actor best known for his long-running roles on daytime soap operas, particularly as complex, often villainous characters.
-
D.
Ari Schlossberg
Ari Schlossberg is an American screenwriter best known for writing the psychological horror film "Hide and Seek" (2005).
-
E.
Zach Katz
Zach Katz is a music industry executive and producer known for his work with major artists and leadership roles at prominent record and publishing companies.
- 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: Zachary Sklar Triple: [JFK (1991 film), screenwriter, Zachary Sklar]
Generated description
Zachary Sklar is an American screenwriter and journalist best known for co-writing Oliver Stone’s political thriller film "JFK."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zachary Sklar Target entity description: Zachary Sklar is an American screenwriter and journalist best known for co-writing Oliver Stone’s political thriller film "JFK."
-
A.
Matthew Sklar
Matthew Sklar is an American composer best known for his work on Broadway musicals, including the stage adaptation of "The Wedding Singer."
-
B.
Zach Baylin
Zach Baylin is an American screenwriter best known for his work on acclaimed sports dramas such as King Richard and Creed III.
-
C.
Michael Zaslow
Michael Zaslow was an American actor best known for his long-running roles on daytime soap operas, particularly as complex, often villainous characters.
-
D.
Ari Schlossberg
Ari Schlossberg is an American screenwriter best known for writing the psychological horror film "Hide and Seek" (2005).
-
E.
Zach Katz
Zach Katz is a music industry executive and producer known for his work with major artists and leadership roles at prominent record and publishing companies.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dfdc8688190aceb223c19a48781 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170ef3110819097ac1346ae33ef94 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a017351db88819097bfbec41920a488 |
completed | May 11, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0175f8c7d48190896f375385829a34 |
completed | May 11, 2026, 6:23 a.m. |
Created at: April 10, 2026, 5:39 a.m.