Triple
T17702649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polytechnique |
E441346
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Don Carmody |
—
|
NE NERFINISHED |
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: Don Carmody | Statement: [Polytechnique, producer, Don Carmody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Carmody Context triple: [Polytechnique, producer, Don Carmody]
-
A.
Don Carmody
chosen
Don Carmody is a prolific Canadian film producer known for his work on numerous commercially successful and cult-favorite films across genres.
-
B.
Jim Carmody
Jim Carmody is the central protagonist of Paul Hoffman’s dark fantasy novel "The Left Hand of God," known for his mysterious past and lethal skills within a brutal religious military order.
-
C.
Stephen McDermott
Stephen McDermott is an Irish Gaelic footballer known for playing at inter-county level for Donegal.
-
D.
Don Murphy
Don Murphy is an American film producer best known for helping launch and produce the live-action Transformers film franchise.
-
E.
Hugh McDermott
Hugh McDermott was a Scottish actor known for his supporting roles in British films of the 1930s and 1940s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729528b88190bd8a104f6f6d4e69 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.