Triple
T29051287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Kinney |
E735265
|
entity |
| Predicate | tookMantleFrom |
P52445
|
FINISHED |
| Object | Wolverine |
—
|
NE NERFINISHED |
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: Wolverine | Statement: [Laura Kinney, tookMantleFrom, Wolverine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookMantleFrom Context triple: [Laura Kinney, tookMantleFrom, Wolverine]
-
A.
hasSuperheroMantle
Indicates that one entity holds or has assumed the superhero identity, title, or role associated with another entity.
-
B.
wasTransformedBy
Indicates that an entity has undergone a change of state, form, or condition as the result of an action, process, or agent.
-
C.
tookThroneFollowing
Indicates that one entity assumed or claimed a throne or rulership position directly after another entity, in a succession context.
-
D.
actsInSteadOf
Indicates that one entity performs an action or fulfills a role as a substitute or proxy for another entity.
-
E.
roleTakenOverFrom
chosen
Indicates that one entity has assumed or inherited a role or position that was previously held by another entity.
- F. None of above.
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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66065c17081908a0bb6b8a7f16558 |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10:08 a.m.