Triple
T5494444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spider-Man |
E123778
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Doctor Octopus |
E120782
|
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: Doctor Octopus | Statement: [Spider-Man, enemy, Doctor Octopus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doctor Octopus Context triple: [Spider-Man, enemy, Doctor Octopus]
-
A.
Doctor Octopus
chosen
Doctor Octopus is a classic Spider-Man supervillain, a brilliant scientist with four powerful mechanical tentacles fused to his body, and one of Spider-Man’s most iconic adversaries.
-
B.
Doctor Doom
Doctor Doom is a brilliant but tyrannical supervillain and arch-enemy of the Fantastic Four in Marvel Comics, known for his mastery of both advanced technology and sorcery.
-
C.
Ultra-Humanite
Ultra-Humanite is a classic DC Comics supervillain, often depicted as a brilliant mad scientist whose mind is transplanted into powerful bodies, making him a recurring foe of Golden Age heroes.
-
D.
Dr. Doom
Dr. Doom is the nickname of economist Nouriel Roubini, known for his pessimistic financial forecasts and for having predicted the 2008 global financial crisis.
-
E.
Dr. Cyclops
Dr. Cyclops is a 1940 science fiction horror film best known for its pioneering use of Technicolor and its story of a mad scientist who shrinks his victims in the Peruvian jungle.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9294ea9c8190b394a8528c385ee9 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c95ba008190ad61e1d31ae38d98 |
completed | March 22, 2026, 4:14 a.m. |
Created at: March 20, 2026, 2:10 p.m.