Triple
T13950318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Hammond |
E335502
|
entity |
| Predicate | artificialBody |
P850
|
FINISHED |
| Object | android body composed of synthetic materials |
—
|
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: android body composed of synthetic materials | Statement: [Jim Hammond, artificialBody, android body composed of synthetic materials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artificialBody Context triple: [Jim Hammond, artificialBody, android body composed of synthetic materials]
-
A.
isArtificial
chosen
Indicates that an entity is man-made or produced by human design rather than occurring naturally.
-
B.
hasArtificialCrewmember
Indicates that an entity includes at least one crew member that is artificial (e.g., a robot or AI) rather than biological.
-
C.
vegetativeBody
Indicates that one entity is the vegetative (non-reproductive, typically growth- and maintenance-focused) body or structure of another entity.
-
D.
hasExoskeleton
Indicates that an entity possesses an external supportive or protective skeletal structure covering its body.
-
E.
usesAnimatronics
Indicates that one entity employs or incorporates animatronic figures or technology in relation to another entity or context.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e131c608190b4ffdbada24a3208 |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.