Triple
T14164756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Screenslaver |
E351045
|
entity |
| Predicate | antagonistOf |
P18963
|
FINISHED |
| Object | Elastigirl |
E236499
|
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: Elastigirl | Statement: [Screenslaver, antagonistOf, Elastigirl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elastigirl Context triple: [Screenslaver, antagonistOf, Elastigirl]
-
A.
Elastigirl
chosen
Elastigirl is a flexible, shape-shifting superhero and mother from Pixar's "The Incredibles" known for her elastic powers and leadership within the Parr family.
-
B.
Elasti-Woman
Elasti-Woman is a DC Comics superheroine and member of the Doom Patrol who can dramatically alter the size and shape of her body.
-
C.
Helen Parr
Helen Parr, also known as Elastigirl, is a superhero and mother in Pixar's "The Incredibles" who can stretch her body into incredible shapes and lengths.
-
D.
Diana Prince
Diana Prince is the Amazonian warrior princess better known as Wonder Woman, a DC Comics superhero who leaves her hidden island to protect humanity.
-
E.
Jennifer Walters
Jennifer Walters is a Marvel Comics lawyer who becomes the superhero She-Hulk after receiving a blood transfusion from her cousin Bruce Banner.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b207cc8190b85b1ff0910b54da |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f3170481909f3981c1e56235d9 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:59 a.m.