Triple
T6287507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellerophon |
E140935
|
entity |
| Predicate | hubrisAct |
P69933
|
FINISHED |
| Object | attempt to fly to Olympus on Pegasus |
—
|
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: attempt to fly to Olympus on Pegasus | Statement: [Bellerophon, hubrisAct, attempt to fly to Olympus on Pegasus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hubrisAct Context triple: [Bellerophon, hubrisAct, attempt to fly to Olympus on Pegasus]
-
A.
hadTyrant
Indicates that an entity was ruled or dominated by a tyrant.
-
B.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
-
C.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
D.
correctsAberration
Indicates that one entity counteracts, fixes, or compensates for an error, flaw, or deviation present in another entity.
-
E.
era
Indicates that something existed, occurred, or was valid during a specified historical or temporal period.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063ff9f74819088dc603f56fc930c |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c0560a0270819098ad2785b91e8f39 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05b37ac1881909e947822490ba4f2 |
completed | March 22, 2026, 9:12 p.m. |
Created at: March 22, 2026, 4:26 p.m.