Triple
T7324728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sciron |
E168841
|
entity |
| Predicate | associatedCreatureInSomeVersions |
P75324
|
FINISHED |
| Object | giant turtle |
—
|
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: giant turtle | Statement: [Sciron, associatedCreatureInSomeVersions, giant turtle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCreatureInSomeVersions Context triple: [Sciron, associatedCreatureInSomeVersions, giant turtle]
-
A.
associatedCharacterSpecies
Indicates that one entity is related to, or linked with, the species of a particular character.
-
B.
associatedBeings
Indicates that two or more beings are linked or connected to each other in some relevant way.
-
C.
usesCreature
Indicates that one entity employs, controls, or relies on a creature to perform an action or fulfill a function.
-
D.
enemySpecies
Indicates that two species are in an antagonistic or hostile relationship, typically viewing each other as enemies.
-
E.
associatedDemon
Indicates that there exists a relationship in which one entity is linked or connected to a particular demon.
- F. None of above. chosen
Provenance (4 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f04993408190b73fb46d83a632d5 |
completed | March 27, 2026, 9:02 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e80ae5688190ac3d6c1bdf9532f0 |
completed | March 27, 2026, 8:26 p.m. |
Created at: March 27, 2026, 3:03 p.m.