Triple
T15490563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telchines |
E378670
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Cronus |
E21426
|
NE 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: Cronus | Statement: [Telchines, associatedWith, Cronus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cronus Context triple: [Telchines, associatedWith, Cronus]
-
A.
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.
-
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.
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.
-
D.
Kronos
Kronos is a workforce management and human capital management software company known for its timekeeping, scheduling, and HR solutions for businesses.
-
E.
Cretheus
Cretheus is a figure in Greek mythology, a king of Iolcus and ancestor of the hero Jason.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff454ac84c8190b1979e6caca3ee66 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 3:48 a.m.