Triple
T3844312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo Karneios |
E93530
|
entity |
| Predicate | hasMonth |
P6433
|
FINISHED |
| Object | Karneios |
E392471
|
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: Karneios | Statement: [Apollo Karneios, hasMonth, Karneios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karneios Context triple: [Apollo Karneios, hasMonth, Karneios]
-
A.
Karneios
chosen
Karneios is an ancient Greek month, particularly in the Spartan calendar, associated with the festival of Karneia in honor of Apollo Karneios.
-
B.
Gavrio
Gavrio is the main port town of the Greek island of Andros in the Cyclades, serving as its primary gateway by sea.
-
C.
Cerberus
Cerberus is the multi-headed hound from Greek mythology that guards the entrance to the underworld, preventing the dead from leaving.
-
D.
Crowle
Crowle is a small market town and civil parish situated on the Isle of Axholme in North Lincolnshire, England.
-
E.
Nattier
Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb655c081909ec5ff3d09eb4778 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5122ba6a4819099986e50f42f2a92 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.