Triple
T14703249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Breaks the Internet |
E345360
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Phil Johnston |
E247265
|
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: Phil Johnston | Statement: [Ralph Breaks the Internet, storyBy, Phil Johnston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Johnston Context triple: [Ralph Breaks the Internet, storyBy, Phil Johnston]
-
A.
Phil Johnston
chosen
Phil Johnston is an American screenwriter and filmmaker known for co-writing animated hits such as Disney's "Zootopia" and "Wreck-It Ralph."
-
B.
Ron Johnston
Ron Johnston was a prominent British geographer renowned for his influential work in political and urban geography.
-
C.
Barry Detweiler
Barry Detweiler is a fictional character appearing in the Fedora universe, contributing to its narrative and thematic development.
-
D.
Phil Stong
Phil Stong was an American novelist and journalist best known for his 1932 novel "State Fair," which inspired multiple film adaptations.
-
E.
Steve Judd
Steve Judd is the aging, principled former lawman at the heart of the Western film "Ride the High Country," whose moral integrity drives the story’s central conflict.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff218b93d48190a7e16c3934828aa8 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 1:28 a.m.