Triple
T7950593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Blue Sea |
E184603
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Donna Powers |
E250956
|
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: Donna Powers | Statement: [Deep Blue Sea, screenwriter, Donna Powers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna Powers Context triple: [Deep Blue Sea, screenwriter, Donna Powers]
-
A.
Donna Powers
chosen
Donna Powers is an American screenwriter best known for co-writing the 2003 heist film "The Italian Job" and other genre movies.
-
B.
Mala Powers
Mala Powers was an American film and television actress best known for her roles in 1950s Hollywood dramas and comedies.
-
C.
Laurie Bladd
Laurie Bladd is a notable alumna of Millburn High School recognized for her achievements after graduation.
-
D.
Violet Jones
Violet Jones is the image-conscious, perfection-seeking advertising executive whose emotional and personal transformation drives the romantic comedy film "Nappily Ever After."
-
E.
Alex Scott
Alex Scott is a former England international footballer who became a prominent British sports broadcaster and television presenter.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5b7450819091e4e6f21e9d832d |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe04872ec819090819899ed8dfc80 |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:10 p.m.