Triple
T6919743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saladin Chamcha |
E160151
|
entity |
| Predicate | hasPhysicalTraitAfterTransformation |
P31173
|
FINISHED |
| Object | horns |
—
|
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: horns | Statement: [Saladin Chamcha, hasPhysicalTraitAfterTransformation, horns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicalTraitAfterTransformation Context triple: [Saladin Chamcha, hasPhysicalTraitAfterTransformation, horns]
-
A.
hasAgeTransformation
Indicates a relationship where an entity undergoes or causes a change in age or age-related state.
-
B.
bodyTransformedInto
Indicates that one entity’s physical form is changed or converted into another specified form or entity.
-
C.
hasPhysicalFeature
chosen
Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
-
D.
crownTransformedInto
Indicates that a crown undergoes a change of state or form, resulting in it becoming a different specified object or condition.
-
E.
ageAtFirstTransformation
Indicates the age an entity was when it underwent its first transformation or change of state.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9f8fc888190949d5779ccbe91e6 |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:26 p.m.