Triple
T16004262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn Decker |
E388172
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Brooklyn Danielle Decker |
E388172
|
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: Brooklyn Danielle Decker | Statement: [Brooklyn Decker, birthName, Brooklyn Danielle Decker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooklyn Danielle Decker Context triple: [Brooklyn Decker, birthName, Brooklyn Danielle Decker]
-
A.
Brooklyn Weaver
Brooklyn Weaver is a film producer known for working on major Hollywood action and thriller projects.
-
B.
Brooklyn Decker
chosen
Brooklyn Decker is an American model and actress known for her Sports Illustrated Swimsuit Issue appearances and roles in films and television comedies.
-
C.
Brooklyn Newman
Brooklyn Newman is the daughter of American professional stock car racing driver Ryan Newman.
-
D.
Brooke Mills
Brooke Mills is an American actress best known for her roles in early 1970s exploitation and cult films.
-
E.
Jessica De Gouw
Jessica De Gouw is an Australian actress known for her work in film and television, including roles in series like "Arrow" and "Dracula."
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fe776c81908f7bf29ef064a6ba |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf20c5348190b42c2e01e8ef5ea8 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.