Triple
T10390887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turbo |
E244888
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Lisa Stewart |
E925357
|
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: Lisa Stewart | Statement: [Turbo, producer, Lisa Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Stewart Context triple: [Turbo, producer, Lisa Stewart]
-
A.
Lisa Stewart
Lisa Stewart is a film producer best known for her work on the acclaimed coming-of-age movie "Almost Famous."
-
B.
Lisa Stewart
chosen
Lisa Stewart is a film producer best known for her work on major animated features, including DreamWorks Animation projects such as "Monsters vs. Aliens."
-
C.
Lisa Rogers
Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
-
D.
Karen Stanton
Karen Stanton is a British academic leader and university administrator who has served as vice-chancellor of York St John University.
-
E.
Lisa Baird
Lisa Baird is an American sports executive who served as commissioner of the National Women's Soccer League (NWSL).
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b4f7d08190bcb16d3b4c8f22ad |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e877c6188190817fb30f2c9a07bf |
completed | April 20, 2026, 8:48 a.m. |
Created at: April 6, 2026, 12:06 p.m.