Triple
T5512191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cyclops |
E144590
|
entity |
| Predicate | hasSecondaryFigure |
P45912
|
FINISHED |
| Object | nymph |
—
|
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: nymph | Statement: [The Cyclops, hasSecondaryFigure, nymph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryFigure Context triple: [The Cyclops, hasSecondaryFigure, nymph]
-
A.
secondMainFigure
Indicates that an entity serves as the second most important or prominent figure in relation to another primary figure or context.
-
B.
hasSecondarySubject
chosen
Indicates that an entity is associated with an additional, non-primary subject in a given context or relationship.
-
C.
hasCentralFigure
Indicates that something features a primary or most important figure at its core or focus.
-
D.
hasSecondaryBase
Indicates that an entity possesses or is associated with a secondary or additional base, distinct from its primary base.
-
E.
hasIconographicFigure
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f581c5081909a8f6d4653edb125 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.