Triple
T1795238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infamous (2006 film) |
E39588
|
entity |
| Predicate | writer |
P1360
|
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: [Infamous (2006 film), writer, Douglas McGrath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douglas McGrath Context triple: [Infamous (2006 film), writer, 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.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
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.
Patrick Doherty
Patrick Doherty was one of the unarmed civil rights marchers shot and killed by British soldiers during the Bloody Sunday massacre in Derry, Northern Ireland, in 1972.
-
E.
Laird Doyle
Laird Doyle was an American screenwriter active in early Hollywood, known for adapting literary works for the screen.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa653daa0c8190a5d96c20c8a0af15 |
completed | March 6, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af174f97248190817a64dfbf98c360 |
completed | March 9, 2026, 6:54 p.m. |
Created at: March 4, 2026, 7:32 p.m.