Triple
T13860642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Gardner |
E333184
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Sinestro |
E447849
|
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: Sinestro | Statement: [Guy Gardner, enemy, Sinestro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinestro Context triple: [Guy Gardner, enemy, Sinestro]
-
A.
Sinestro
chosen
Sinestro is a powerful former Green Lantern who becomes one of the Corps’ greatest enemies and the archenemy of Hal Jordan in DC Comics.
-
B.
Ronan the Accuser
Ronan the Accuser is a powerful Kree zealot and primary antagonist in the Marvel Cinematic Universe, best known for his role as the villain opposing the Guardians of the Galaxy.
-
C.
Mister Negative
Mister Negative is a Marvel Comics supervillain and crime lord with dual personalities and the power to manipulate dark energy, often serving as a major foe of Spider-Man.
-
D.
Absorbing Man
Absorbing Man is a Marvel Comics supervillain, often depicted as a formidable foe of heroes like Thor and the Hulk, who can magically absorb the properties of anything he touches.
-
E.
Mr. Sinister
Mr. Sinister is a sinister geneticist and long-time X-Men supervillain in Marvel Comics, known for his obsession with mutant experimentation and manipulation.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02de38e48190b6ead95561031c32 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0fd3ffc8190965a730843411b80 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.