Triple
T29120612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call Me Joe |
E737170
|
entity |
| Predicate | featuresArtificialBody |
P48124
|
FINISHED |
| Object | Jovian organism |
—
|
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: Jovian organism | Statement: [Call Me Joe, featuresArtificialBody, Jovian organism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresArtificialBody Context triple: [Call Me Joe, featuresArtificialBody, Jovian organism]
-
A.
hasArtificialComponent
Indicates that an entity includes, contains, or is composed of at least one non-natural, human-made component.
-
B.
bodyArt
Indicates that one entity has body art (such as tattoos, piercings, or similar modifications) applied to or present on another entity.
-
C.
isArtificial
Indicates that an entity is man-made or produced by human design rather than occurring naturally.
-
D.
hasBodyPlanFeature
chosen
Indicates that an organism’s body plan includes a specific structural or morphological feature.
-
E.
featuresCyborg
Indicates that something includes or prominently presents a cyborg as part of its content or composition.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: April 28, 2026, 11:25 a.m.