Triple
T11668387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X-Force |
E277311
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | X-23 |
E735975
|
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: X-23 | Statement: [X-Force, hasMember, X-23]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: X-23 Context triple: [X-Force, hasMember, X-23]
-
A.
X-23
chosen
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.
-
B.
Hank McCoy / Beast
Hank McCoy, also known as Beast, is a brilliant mutant scientist and founding member of the X-Men distinguished by his blue fur, superhuman agility, and intellectual prowess.
-
C.
Wolverine Wildcat
Wolverine Wildcat is a classic wooden roller coaster located at the Michigan’s Adventure amusement park in Muskegon, Michigan.
-
D.
Wolverine
Wolverine is a fierce, small but powerful mammal known for its strength, tenacity, and association with toughness in sports and popular culture.
-
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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13c3ea648190ae18cd2869be74ad |
completed | April 27, 2026, 7:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.