Triple
T9753845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spencer Fox |
E236505
|
entity |
| Predicate | voicedCharacter |
P2000
|
FINISHED |
| Object | Dash Parr |
E236496
|
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: Dash Parr | Statement: [Spencer Fox, voicedCharacter, Dash Parr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dash Parr Context triple: [Spencer Fox, voicedCharacter, Dash Parr]
-
A.
Dashiell "Dash" Parr
chosen
Dashiell "Dash" Parr is the hyperactive, speed-powered middle child of the superhero Parr family in Pixar's animated film series "The Incredibles."
-
B.
Dashiell Robert Parr
Dashiell Robert "Dash" Parr is the super-speed-powered middle child of the Parr family in Pixar's animated film series "The Incredibles."
-
C.
Flash Thompson
Flash Thompson is a Marvel Comics character best known as Peter Parker’s high school bully who later becomes a complex antihero, including serving as the host of the Venom symbiote.
-
D.
Bob Parr
Bob Parr is the super-strong superhero dad known as Mr. Incredible from Pixar's animated film "The Incredibles."
-
E.
Dash
Dash is an open-source Python framework for building interactive, web-based data visualization dashboards, particularly suited for analytical and scientific applications.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d048c5081908c891633129dc5d6 |
completed | April 5, 2026, 7:19 a.m. |
Created at: March 30, 2026, 8:24 p.m.