Triple
T15489471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diodorus Cronus |
E377140
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Apollonius Cronus |
E1160803
|
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: Apollonius Cronus | Statement: [Diodorus Cronus, influencedBy, Apollonius Cronus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apollonius Cronus Context triple: [Diodorus Cronus, influencedBy, Apollonius Cronus]
-
A.
Apollonius Cronus
chosen
Apollonius Cronus was an ancient Greek philosopher of the Megarian school, known as a logician and teacher influential in the development of dialectical logic.
-
B.
Cronus
Cronus is a Titan in Greek mythology best known for overthrowing his father Uranus and later being overthrown by his own son Zeus.
-
C.
Cronos
Cronos is a 1993 Mexican horror-fantasy film directed by Guillermo del Toro, noted for its inventive vampire mythology and atmospheric visual style.
-
D.
Zeus Ammon
Zeus Ammon is a syncretic deity combining aspects of the Greek god Zeus and the Egyptian god Amun, worshipped especially in the ancient Mediterranean world.
-
E.
Kronos
Kronos is a workforce management and human capital management software company known for its timekeeping, scheduling, and HR solutions for businesses.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faaca588190b0397bc2e27a522a |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4661088190bb53161247effcc4 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:48 a.m.