Triple
T7970603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pym Tasting Lab |
E185311
|
entity |
| Predicate | associatedCharacter |
P12208
|
FINISHED |
| Object | The Wasp |
E185316
|
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: The Wasp | Statement: [Pym Tasting Lab, associatedCharacter, The Wasp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wasp Context triple: [Pym Tasting Lab, associatedCharacter, The Wasp]
-
A.
The Wasp
chosen
The Wasp is a Marvel superhero, often portrayed as a size-changing, flying Avenger who fights alongside Ant-Man using advanced Pym particle technology.
-
B.
Las Avispas
Las Avispas is the popular nickname of the Cuban baseball team from Santiago de Cuba, known as a fierce rival of Los Leones of Industriales.
-
C.
Hugo the Hornet
Hugo the Hornet is the energetic, anthropomorphic hornet mascot who represents and entertains fans of the NBA’s Charlotte Hornets.
-
D.
Hornet's Nest
Hornet's Nest was a fiercely contested defensive position held by Union troops during the American Civil War’s Battle of Shiloh, known for its intense and prolonged fighting.
-
E.
Hornets Nest
"Hornets Nest" is a film produced by Mandalay Pictures, best known as one of the studio’s notable releases.
- 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_69cc56710dd0819084da3898cb0933b0 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:13 p.m.