Triple
T36509342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proteus |
E899855
|
entity |
| Predicate | transformationForms |
P121335
|
FINISHED |
| Object | lion |
—
|
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: lion | Statement: [Proteus, transformationForms, lion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformationForms Context triple: [Proteus, transformationForms, lion]
-
A.
takesFormOf
chosen
Indicates that one entity assumes, manifests, or is expressed in the shape, structure, or configuration of another entity.
-
B.
showsTransformationOf
Indicates that one entity visually or conceptually presents the process or result of another entity changing from one state, form, or condition to another.
-
C.
featuresTransformationOf
Indicates that something includes or presents a transformation or change applied to another entity.
-
D.
wasTransformedBy
Indicates that an entity has undergone a change of state, form, or condition as the result of an action, process, or agent.
-
E.
transformType
Indicates that one entity is converted or changed from its original form into another specified type or form.
- 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_69f76e5dada881909da2d34bc7a9202a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff8cecbf048190860b9f72b8753f5c |
completed | May 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69ff8c4c39dc8190b5bf35adc1bae7c6 |
completed | May 9, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:10 p.m.