Triple
T2608076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bucky Barnes |
E58707
|
entity |
| Predicate | hasCybernetic |
P41225
|
FINISHED |
| Object | 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: left arm | Statement: [Bucky Barnes, hasCybernetic, left arm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCybernetic Context triple: [Bucky Barnes, hasCybernetic, left arm]
-
A.
featuresCyborg
Indicates that something includes or prominently presents a cyborg as part of its content or composition.
-
B.
hasMob
Indicates that an entity possesses, controls, or is associated with a particular mob or group of mobile agents.
-
C.
isCapableOf
Indicates that an entity has the ability or capacity to perform a particular action or function.
-
D.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
E.
hasArm
Indicates that one entity possesses or is equipped with an arm as a physical part or component of itself.
- F. None of above. chosen
Provenance (4 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:49 p.m.