Triple
T3658317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | slaying of Python by Apollo |
E77586
|
entity |
| Predicate | timeInMythicSequence |
P20414
|
FINISHED |
| Object | early in Apollo's career |
—
|
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: early in Apollo's career | Statement: [slaying of Python by Apollo, timeInMythicSequence, early in Apollo's career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInMythicSequence Context triple: [slaying of Python by Apollo, timeInMythicSequence, early in Apollo's career]
-
A.
timeInMyth
chosen
Indicates that an entity exists or occurs during a specific time period within a mythological narrative or tradition.
-
B.
mythicReputation
Indicates a reputation or renown of legendary, larger-than-life status associated with an entity.
-
C.
hasMythicEvent
Indicates that an entity is associated with, involves, or features a significant mythic or legendary event.
-
D.
hasMythicMotif
Indicates that one entity features, embodies, or is associated with a particular mythic motif found in the other entity.
-
E.
hasMythicTheme
Indicates that something embodies, references, or is characterized by a mythic or mythological theme.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d48a2081908ac0f76d548a53ee |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb847e9d881909dad2ffd0f3b6c15 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.