Triple
T1251746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenet |
E26890
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Emma Thomas |
E42261
|
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: Emma Thomas | Statement: [Tenet, producer, Emma Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Thomas Context triple: [Tenet, producer, Emma Thomas]
-
A.
Emma Thomas
chosen
Emma Thomas is a British film producer best known for her long-running collaboration with director Christopher Nolan on major films such as Inception, The Dark Knight trilogy, and Oppenheimer.
-
B.
Sarah Thorne
Sarah Thorne was the wife of Leonard Darwin, son of the naturalist Charles Darwin.
-
C.
Marta Thomas
Marta Thomas was the wife of Polish military leader and interwar statesman Eduard Rydz-Śmigły.
-
D.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
-
E.
Anna Meredith
Anna Meredith is a British composer, producer, and performer known for her genre-blending work that spans contemporary classical music, electronic music, and experimental pop.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26d7583c8190b84127ad2e5ca4c1 |
completed | March 9, 2026, 1:48 a.m. |
Created at: March 1, 2026, 7:47 p.m.