Triple
T2215299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Belong Together |
E48016
|
entity |
| Predicate | basedOnCharactersBy |
P15277
|
FINISHED |
| Object | Joe Ranft |
E173066
|
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: Joe Ranft | Statement: [We Belong Together, basedOnCharactersBy, Joe Ranft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Ranft Context triple: [We Belong Together, basedOnCharactersBy, Joe Ranft]
-
A.
Joe Ranft
chosen
Joe Ranft was an influential American storyboard artist, writer, and animator best known for his key creative contributions to numerous Disney and Pixar films.
-
B.
Colin Woodell
Colin Woodell is an American actor known for his leading role in the television adaptation of "The Purge" and appearances in various film and TV projects.
-
C.
Paul Walker
Paul Walker was an American actor best known for his role as Brian O'Conner in the "Fast & Furious" film franchise.
-
D.
Paul Walker
Paul Walker is a British businessman and former chief executive of the software company Sage Group, known for his leadership in the technology and business sectors.
-
E.
Jon DeVaan
Jon DeVaan is a longtime Microsoft engineering leader known for his key roles in developing and managing core Windows and Office technologies.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbff11574819091d1b50d637ae767 |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8941dbc88190b8c2b8afd135a3d1 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:46 p.m.