Triple
T13336429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alison Doody |
E317705
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alison Doody |
E317705
|
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: Alison Doody | Statement: [Alison Doody, name, Alison Doody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alison Doody Context triple: [Alison Doody, name, Alison Doody]
-
A.
Alison Doody
chosen
Alison Doody is an Irish actress and former model best known for her role as Dr. Elsa Schneider in the film "Indiana Jones and the Last Crusade."
-
B.
Alison Wright
Alison Wright is a British actress known for her acclaimed television roles, including standout performances in series such as "The Americans" and "Sneaky Pete."
-
C.
Alison Brown
Alison Brown is a film industry professional best known for her role in founding the American animation company Blue Sky Studios.
-
D.
Alison Mundy
Alison Mundy is the troubled, reluctant medium at the center of the British supernatural drama series "Afterlife," known for her intense encounters with the dead and emotional struggles with her gift.
-
E.
Alison Benson
Alison Benson is a television producer and executive known for her work overseeing series such as the comedy show "Camping."
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d00b75c8190af98784c7df904c8 |
completed | April 11, 2026, 12:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3cf863fc81908723f7f6b3d45510 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 9:31 p.m.