Triple
T14622406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malcolm & Marie |
E343256
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ashley Levinson |
E926438
|
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: Ashley Levinson | Statement: [Malcolm & Marie, producer, Ashley Levinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Levinson Context triple: [Malcolm & Marie, producer, Ashley Levinson]
-
A.
Ashley Levinson
chosen
Ashley Levinson is a film and television producer known for her work on acclaimed projects such as the drama film "Pieces of a Woman."
-
B.
Ashley
Ashley is a given name commonly used in English-speaking countries for both males and females.
-
C.
Ashley
Ashley is a character featured in the animated children’s series "¡Dos!"
-
D.
Ashley
Ashley is a small village and civil parish located within the county of Suffolk in eastern England.
-
E.
Ashley Greenwick
Ashley Greenwick is a fictional character from the series "Sirens," known for her role within the show's ensemble cast.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9288e748190bf65a01803265a73 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.