Triple
T7970765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wasp |
E185316
|
entity |
| Predicate | realName |
P9233
|
FINISHED |
| Object | Janet van Dyne |
E328811
|
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: Janet van Dyne | Statement: [The Wasp, realName, Janet van Dyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet van Dyne Context triple: [The Wasp, realName, Janet van Dyne]
-
A.
Janet van Dyne
chosen
Janet van Dyne is a Marvel Comics superhero best known as the Wasp, a founding member of the Avengers and a longtime partner of Hank Pym.
-
B.
Joelle Van Dyne
Joelle Van Dyne is a central, enigmatic figure in David Foster Wallace’s novel "Infinite Jest," known for her extreme beauty, disfigured face, and involvement with both the film industry and the novel’s themes of addiction and obsession.
-
C.
Hope van Dyne
Hope van Dyne is a Marvel Comics and Marvel Cinematic Universe character who becomes the superhero Wasp, fighting alongside Ant-Man with a technologically advanced shrinking suit.
-
D.
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.
-
E.
Martha Coleman
Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd304dc8190b9feee5e17fc66db |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9387aabc81909ca13ee6a51525f4 |
completed | April 1, 2026, 3:39 a.m. |
Created at: March 30, 2026, 5:13 p.m.