Triple
T5317330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma (1996 film) |
E121582
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Douglas McGrath |
E141781
|
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: Douglas McGrath | Statement: [Emma (1996 film), screenwriter, Douglas McGrath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douglas McGrath Context triple: [Emma (1996 film), screenwriter, Douglas McGrath]
-
A.
Douglas McGrath
chosen
Douglas McGrath was an American screenwriter, director, and actor known for his literary adaptations and collaborations with Woody Allen.
-
B.
Stephen McDermott
Stephen McDermott is an Irish Gaelic footballer known for playing at inter-county level for Donegal.
-
C.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
-
D.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
E.
Stephen McCauley
Stephen McCauley is an American novelist known for his witty, character-driven fiction exploring contemporary relationships and urban life.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd854fd07c8190b4f1c3c8e618c308 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf857b83f08190b2d575a052198ff1 |
completed | March 22, 2026, 6 a.m. |
Created at: March 20, 2026, 1:59 p.m.