Triple
T14092484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clash of the Titans (1981 film) |
E339168
|
entity |
| Predicate | featuresMythologicalCreature |
P64143
|
FINISHED |
| Object | Kraken |
—
|
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: Kraken | Statement: [Clash of the Titans (1981 film), featuresMythologicalCreature, Kraken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMythologicalCreature Context triple: [Clash of the Titans (1981 film), featuresMythologicalCreature, Kraken]
-
A.
featuresCreatureOrLegend
Indicates that something includes, depicts, or prominently involves a particular creature or legendary being.
-
B.
mythologicalFigureFeatured
chosen
Indicates that a mythological figure is prominently depicted, referenced, or plays a significant role within a given work, context, or medium.
-
C.
hasMythologicalFeature
Indicates that an entity possesses a characteristic, attribute, or element derived from mythology or mythological beings.
-
D.
featuresMythicalObject
Indicates that something includes, presents, or prominently involves a mythical or legendary object.
-
E.
featuresMonster
Indicates that something includes or prominently presents a monster 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee47f0881908aea8b5231b93f2f |
completed | April 14, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69de05b0e6c88190a819eeba0028981f |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.