Triple
T13054842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Ferrari |
E327542
|
entity |
| Predicate | wroteForCharacter |
P60552
|
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: [Gabriel Ferrari, wroteForCharacter, The Wasp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wasp Context triple: [Gabriel Ferrari, wroteForCharacter, 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.
Double Wasp
Double Wasp is the nickname for the Pratt & Whitney R-2800, a powerful American 18-cylinder radial aircraft engine widely used in World War II fighters and bombers.
-
C.
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.
-
D.
Hornet
Hornet is the stinging insect that serves as the fierce and energetic mascot for Alabama State University's athletic teams.
-
E.
Hugo the Hornet
Hugo the Hornet is the energetic, anthropomorphic hornet mascot who represents and entertains fans of the NBA’s Charlotte Hornets.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bb52d88190b5be12000e27a2c9 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbdead348190aa7aaa29c371d72a |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.