Triple
T1146511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perseus |
E23577
|
entity |
| Predicate | prophecyInvolved |
P22416
|
FINISHED |
| Object | killing his grandfather Acrisius |
—
|
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: killing his grandfather Acrisius | Statement: [Perseus, prophecyInvolved, killing his grandfather Acrisius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prophecyInvolved Context triple: [Perseus, prophecyInvolved, killing his grandfather Acrisius]
-
A.
prophecyHeardBy
Indicates that a prophecy was heard or received by a particular entity.
-
B.
subjectOfProphecy
chosen
Indicates that the subject is foretold or predicted to play a significant role or experience a specific event according to a prophecy.
-
C.
prophecyOverheardBy
Indicates that a prophecy was heard or accidentally listened to by a particular entity, without necessarily being its intended recipient.
-
D.
madeMajorProphecyAt
Indicates that an entity delivered or pronounced a significant prophecy at a specific place or time.
-
E.
followsProphet
Indicates that one entity accepts the guidance or teachings of, and adheres to the leadership or example set by, a prophet.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bd0bed00819091d71983d787a030 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4ee3988190ac89c5ae5b10e316 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.