Triple
T16909751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young MacGuffin |
E410163
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Brave (2012 film) |
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 (2012 film) | Statement: [Young MacGuffin, appearsIn, Brave (2012 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brave (2012 film) Context triple: [Young MacGuffin, appearsIn, Brave (2012 film)]
-
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 was a French ship of the line that took part in the early 19th-century naval Battle of San Domingo.
-
C.
Brave
Brave is a 1994 concept album by British neo-progressive rock band Marillion, known for its dark, atmospheric storytelling and cohesive narrative structure.
-
D.
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.
-
E.
Brave
"Brave" is an uplifting pop song by Sara Bareilles that encourages self-expression and speaking out with courage.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3bdc3081908a9b4f6e63405348 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd0ff2881908686678daab46664 |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:30 a.m.