Triple
T13021208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope van Dyne |
E326175
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Wasp |
E969618
|
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: Wasp | Statement: [Hope van Dyne, alias, Wasp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wasp Context triple: [Hope van Dyne, alias, Wasp]
-
A.
Wasp
"Wasp" is a 1957 science fiction novel by Eric Frank Russell, best known for its satirical portrayal of psychological warfare and guerrilla tactics used by a single operative to destabilize an alien empire.
-
B.
Wasp
chosen
Wasp is a Marvel Comics superheroine, founding member of the Avengers, known for her size-changing powers, bio-electric stings, and influential leadership within the team.
-
C.
Avispas
Avispas is the popular nickname of the professional baseball team from Santiago de Cuba in the Cuban National Series.
-
D.
Avispa
Avispa is a Japanese professional football club based in Fukuoka that competes in the J1 League.
-
E.
Hornet
Hornet is the stinging insect that serves as the fierce and energetic mascot for Alabama State University's athletic teams.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c119e19c81908ae2b1caff6f2f32 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:52 p.m.