Triple
T7643472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenda Chapman |
E173064
|
entity |
| Predicate | awardReceivedFor |
P107
|
FINISHED |
| Object | Brave |
E46401
|
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: Brave | Statement: [Brenda Chapman, awardReceivedFor, Brave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brave Context triple: [Brenda Chapman, awardReceivedFor, Brave]
-
A.
Brave
chosen
Brave is a 2012 Pixar animated fantasy film that follows a Scottish princess, Merida, who defies tradition and inadvertently unleashes a curse she must undo to save her family.
-
B.
Brave
Brave is a privacy-focused web browser known for its built-in ad and tracker blocking, faster browsing experience, and optional cryptocurrency-based rewards system.
-
C.
Brave
"Brave" is an uplifting pop song by Sara Bareilles that encourages self-expression and speaking out with courage.
-
D.
Brave
Brave was a French ship of the line that took part in the early 19th-century naval Battle of San Domingo.
-
E.
Ever Onward
Ever Onward is the inspirational motto associated with the Asian Games, symbolizing continuous progress and striving for excellence in sport.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faef96908190a7724b204f9d8c9e |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac8fdfe88190a535bf050eff5abb |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 3:58 p.m.