Triple
T11872762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Buchanan Barnes |
E282442
|
entity |
| Predicate | hasProsthetic |
P54723
|
FINISHED |
| Object | cybernetic left arm |
—
|
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: cybernetic left arm | Statement: [James Buchanan Barnes, hasProsthetic, cybernetic left arm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProsthetic Context triple: [James Buchanan Barnes, hasProsthetic, cybernetic left arm]
-
A.
hasProsthesis
chosen
Indicates that an entity possesses or is equipped with an artificial substitute for a missing or impaired body part.
-
B.
hasCybernetic
Indicates that an entity possesses or is equipped with cybernetic enhancements, implants, or components.
-
C.
hasExoskeleton
Indicates that an entity possesses an external supportive or protective skeletal structure covering its body.
-
D.
hasLimb
Indicates that an entity possesses a specific limb as part of its body.
-
E.
fittedWith
Indicates that one entity is equipped, supplied, or provided with another entity as a component, feature, or accessory.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:43 p.m.