Triple
T12265960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mighty Avengers |
E292345
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Quicksilver |
E291484
|
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: Quicksilver | Statement: [Mighty Avengers, hasMember, Quicksilver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quicksilver Context triple: [Mighty Avengers, hasMember, Quicksilver]
-
A.
Quicksilver
chosen
Quicksilver is a Marvel Comics superhero known for his superhuman speed and frequent involvement with major teams like the Avengers and the X-Men.
-
B.
Quicksilver
Quicksilver is a historical science fiction novel by Neal Stephenson that blends 17th-century politics, early modern science, and adventure, and serves as the first volume of his Baroque Cycle.
-
C.
The Wolverine
The Wolverine is a 2013 superhero film centered on the Marvel Comics character Wolverine, following his journey to Japan where he confronts both his past and powerful new enemies.
-
D.
X-23
X-23 is a Marvel Comics character, a female clone and successor to Wolverine known for her adamantium claws, healing factor, and complex struggle with her assassin origins.
-
E.
Wolverine
Wolverine is a higher-speed Amtrak passenger train service that operates multiple daily routes between Chicago, Detroit, and Pontiac in the Midwestern United States.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cdc42988190b4e2a6591a6f919d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e65bc00819091e4fee3c3af6f4f |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.