Triple
T16248574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midge Wood |
E394437
|
entity |
| Predicate | screenWriterOfWork |
P25235
|
FINISHED |
| Object | Alec Coppel |
E394432
|
NE FINISHED |
How this triple was built (2 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: Alec Coppel | Statement: [Midge Wood, screenWriterOfWork, Alec Coppel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alec Coppel Context triple: [Midge Wood, screenWriterOfWork, Alec Coppel]
-
A.
Alec Coppel
chosen
Alec Coppel was an Australian-born screenwriter and playwright best known for his work on classic suspense films, including contributing to the script of Alfred Hitchcock’s "Vertigo."
-
B.
Gavin Koppell
Gavin Koppell is a musician best known for his early role as a DJ and turntablist with the American rock band Incubus.
-
C.
Michael McCloskey
Michael McCloskey is a relatively obscure individual whose primary distinguishing feature is sharing the McCloskey surname, with no widely recognized public achievements or roles commonly associated with his name.
-
D.
Chris Healey
Chris Healey is a computer scientist known for his work in information visualization and visual analytics.
-
E.
John Stockwell
John Stockwell is an American film director, screenwriter, and actor known for helming stylish action and thriller films such as "Into the Blue."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24594f23c8190bd59fcb2585cb5e3 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d9de7548190974851dc54465f0b |
completed | May 10, 2026, 7:02 a.m. |
Created at: April 10, 2026, 5:04 a.m.