Triple
T7574949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venom the Rattler |
E179337
|
entity |
| Predicate | speciesTheme |
P17196
|
FINISHED |
| Object | rattlesnake |
—
|
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: rattlesnake | Statement: [Venom the Rattler, speciesTheme, rattlesnake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesTheme Context triple: [Venom the Rattler, speciesTheme, rattlesnake]
-
A.
speciesInspiredBy
Indicates that one species concept, design, or depiction is modeled after, influenced by, or creatively derived from another species.
-
B.
areaTheme
Indicates that a particular theme, topic, or subject is associated with or characterizes a given area or region.
-
C.
speciesType
chosen
Indicates the specific biological species category to which an entity belongs.
-
D.
countrySubject
Indicates that the subject entity is a country that is the main actor, topic, or focus in the described relation or statement.
-
E.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94a25148190b5b76e000e0336c4 |
completed | March 27, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.