Triple
T1146500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perseus |
E23577
|
entity |
| Predicate | aidedBy |
P11876
|
FINISHED |
| Object | Hermes |
E9357
|
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: Hermes | Statement: [Perseus, aidedBy, Hermes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermes Context triple: [Perseus, aidedBy, Hermes]
-
A.
Hermes
chosen
Hermes is the fleet-footed Greek god of trade, travel, and communication, who serves as messenger of the Olympian gods and guide of souls to the underworld.
-
B.
Aristaeus
Aristaeus is a minor Greek god associated with agriculture, beekeeping, and pastoral pursuits, often revered as a culture hero who taught humans various rural arts.
-
C.
Aidoneus
Aidoneus is an alternate name and epithet for Hades, the Greek god who rules the underworld and the dead.
-
D.
Steropes
Steropes is a one-eyed giant from Greek mythology, one of the Cyclopes known for forging Zeus’s thunderbolts.
-
E.
Argus
Argus is an early distributed programming language known for pioneering concepts in fault-tolerant, distributed systems and influencing modern object-oriented and concurrent programming.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bf0ecd448190affb5c24c3520732 |
completed | March 1, 2026, 10:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eb3ec3881908c8cb39b422fcc71 |
completed | March 7, 2026, 5:21 p.m. |
Created at: March 1, 2026, 7:44 p.m.