Triple
T6463631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exit Wounds |
E142179
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Ed Horowitz
Ed Horowitz is a screenwriter best known for co-writing the action film "Exit Wounds."
|
E594169
|
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: Ed Horowitz | Statement: [Exit Wounds, screenwriter, Ed Horowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Horowitz Context triple: [Exit Wounds, screenwriter, Ed Horowitz]
-
A.
Howard Gordon
Howard Gordon is an American television writer and producer best known for his work on acclaimed series such as "24" and "Homeland."
-
B.
Stephen Gaghan
Stephen Gaghan is an American screenwriter and director best known for his politically charged, multi-narrative films such as "Traffic" and "Syriana."
-
C.
Owen Roizman
Owen Roizman was an acclaimed American cinematographer known for his influential work on landmark films of the 1970s and beyond.
-
D.
Scott J. Horowitz
Scott J. Horowitz is a former NASA astronaut and U.S. Air Force colonel who flew on four Space Shuttle missions in the 1990s and early 2000s.
-
E.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
- 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: Ed Horowitz Triple: [Exit Wounds, screenwriter, Ed Horowitz]
Generated description
Ed Horowitz is a screenwriter best known for co-writing the action film "Exit Wounds."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ed Horowitz Target entity description: Ed Horowitz is a screenwriter best known for co-writing the action film "Exit Wounds."
-
A.
Howard Gordon
Howard Gordon is an American television writer and producer best known for his work on acclaimed series such as "24" and "Homeland."
-
B.
Stephen Gaghan
Stephen Gaghan is an American screenwriter and director best known for his politically charged, multi-narrative films such as "Traffic" and "Syriana."
-
C.
Owen Roizman
Owen Roizman was an acclaimed American cinematographer known for his influential work on landmark films of the 1970s and beyond.
-
D.
Scott J. Horowitz
Scott J. Horowitz is a former NASA astronaut and U.S. Air Force colonel who flew on four Space Shuttle missions in the 1990s and early 2000s.
-
E.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f9b58081909412b9da753b9285 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64be78ae48190b38390ed245694fb |
completed | March 27, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c64cd369048190bc0702592083a909 |
completed | March 27, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64d911a1881908b280636365a4858 |
completed | March 27, 2026, 9:27 a.m. |
Created at: March 22, 2026, 4:49 p.m.