Triple
T13537553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devious Maids |
E323299
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Tom Irwin |
E494415
|
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: Tom Irwin | Statement: [Devious Maids, portrayedBy, Tom Irwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Irwin Context triple: [Devious Maids, portrayedBy, Tom Irwin]
-
A.
Tom Irwin
chosen
Tom Irwin is an American actor known for his work in television, film, and theater, including prominent roles in series like "My So-Called Life" and "The Morning Show."
-
B.
Josh Irving
Josh Irving is the son of American novelist Clifford Irving, who gained notoriety for his infamous hoax autobiography of Howard Hughes.
-
C.
John Irwin
John Irwin is a television producer best known for his work as an executive producer on major late-night talk shows, including The Jay Leno Show.
-
D.
Mike Irwin
Mike Irwin is an astronomer known for discovering the dwarf spheroidal galaxy Andromeda VI.
-
E.
Mark Irwin
Mark Irwin is a Canadian cinematographer known for his work on numerous feature films, including collaborations with directors like David Cronenberg and on popular comedies such as "Old School."
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9a448c81908fa57a909a9097f7 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.