Triple
T22805643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ρέα |
E564525
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Κρόνος |
—
|
NE NERFINISHED |
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: Κρόνος | Statement: [Ρέα, spouse, Κρόνος]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Κρόνος Context triple: [Ρέα, spouse, Κρόνος]
-
A.
Kronos
Kronos is a workforce management and human capital management software company known for its timekeeping, scheduling, and HR solutions for businesses.
-
B.
Cronos
Cronos is a 1993 Mexican horror-fantasy film directed by Guillermo del Toro, noted for its inventive vampire mythology and atmospheric visual style.
-
C.
Cronus
chosen
Cronus is a Titan in Greek mythology best known for overthrowing his father Uranus and later being overthrown by his own son Zeus.
-
D.
Apollonius Cronus
Apollonius Cronus was an ancient Greek philosopher of the Megarian school, known as a logician and teacher influential in the development of dialectical logic.
-
E.
Phoroneus
Phoroneus is a figure in Greek mythology often regarded as a primordial king of Argos and one of the earliest humans or culture heroes in the region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5c193481908550993e2547515d |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.