Triple
T10545520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauty and the Beast (1991 film) |
E248806
|
entity |
| Predicate | storyBy |
P1955
|
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: [Beauty and the Beast (1991 film), storyBy, Joe Ranft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Ranft Context triple: [Beauty and the Beast (1991 film), storyBy, 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.
Eric Ranft
Eric Ranft is an entrepreneur best known as a founder of the electronic signature and digital transaction management company DocuSign.
-
C.
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.
-
D.
Mark Salling
Mark Salling was an American actor and musician best known for playing Noah "Puck" Puckerman on the television series Glee.
-
E.
Matt Scharping
Matt Scharping is a television producer best known for serving as an executive producer on the sitcom "Lopez vs Lopez."
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5191345ac81909bc404ba9574ce4c |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9344a53fc81909765061d07d0cd20 |
completed | April 10, 2026, 5:32 p.m. |
Created at: April 6, 2026, 12:33 p.m.