Triple
T10845300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Well |
E255994
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sandra Levy |
E213561
|
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: Sandra Levy | Statement: [The Well, producer, Sandra Levy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandra Levy Context triple: [The Well, producer, Sandra Levy]
-
A.
Sandra Levy
chosen
Sandra Levy is an Australian film producer known for her work on acclaimed features such as the 1987 drama "High Tide."
-
B.
Sandra Newman
Sandra Newman is an American novelist and writer known for her inventive, genre-blending fiction and works such as "The Country of Ice Cream Star" and "The Men."
-
C.
Marla Sokoloff
Marla Sokoloff is an American actress known for her roles in films and television series such as "Dude, Where's My Car?" and "The Practice."
-
D.
Judy Levitt
Judy Levitt is an American actress best known for her long marriage to Star Trek actor Walter Koenig and for appearing in several of his film and television projects.
-
E.
Sandra Payne
Sandra Payne is a British actress known for her work in film and television, and for her former marriage to lyricist Alan Jay Lerner.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d0155c81908fb55ba6b45db800 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4acb7fdac8190bced7e26c948ee4a |
completed | April 19, 2026, 10:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.