Triple
T29051269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Kinney |
E735265
|
entity |
| Predicate | clawsType |
P64106
|
FINISHED |
| Object | adamantium-coated bone claws |
—
|
LITERAL 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: adamantium-coated bone claws | Statement: [Laura Kinney, clawsType, adamantium-coated bone claws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clawsType Context triple: [Laura Kinney, clawsType, adamantium-coated bone claws]
-
A.
clawsAdaptedFor
Indicates that an organism’s claws are specially suited or modified for a particular function, environment, or behavior.
-
B.
clawDescription
chosen
Indicates that one entity provides a descriptive account or characterization of a claw or claw-like feature of another entity.
-
C.
hasClaws
Indicates that one entity possesses claws as a physical feature or attribute.
-
D.
clawsLocation
Indicates the spatial position or placement of an entity’s claws relative to another object or reference frame.
-
E.
bladeType
Indicates the specific kind or category of blade associated with an object or 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.