Triple
T8458463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hela |
E199978
|
entity |
| Predicate | antagonistOf |
P18963
|
FINISHED |
| Object | Hulk |
E119391
|
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: Hulk | Statement: [Hela, antagonistOf, Hulk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hulk Context triple: [Hela, antagonistOf, Hulk]
-
A.
The Hulkster
The Hulkster is the ring nickname of Hulk Hogan, the iconic professional wrestler and pop culture figure known for his larger-than-life persona in WWE during the 1980s and 1990s.
-
B.
The Incredible Hulk
chosen
The Incredible Hulk is a Marvel Comics superhero who transforms from scientist Bruce Banner into a gigantic, super-strong green monster when enraged.
-
C.
Hulkling (Teddy Altman)
Hulkling (Teddy Altman) is a Marvel Comics superhero, a shape-shifting Kree–Skrull hybrid best known as a founding member of the Young Avengers and the romantic partner of Wiccan.
-
D.
Bruce Banner
Bruce Banner is a brilliant scientist who transforms into the powerful Hulk, serving as a key member of the Avengers in the Marvel universe.
-
E.
Giant-Man
Giant-Man is a Marvel Comics superhero identity used by scientist Hank Pym when he grows to enormous size using his Pym Particle technology.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49064f881909391d565b97e9886 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea82c897c8190b7554d2e91968b53 |
completed | April 2, 2026, 5:32 p.m. |
Created at: March 30, 2026, 6:10 p.m.