Triple
T22555122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerberos |
E557659
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Cerberus |
—
|
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: Cerberus | Statement: [Kerberos, namedAfter, Cerberus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerberus Context triple: [Kerberos, namedAfter, Cerberus]
-
A.
Cerberus
chosen
Cerberus is the multi-headed hound from Greek mythology that guards the entrance to the underworld, preventing the dead from leaving.
-
B.
Cerbère
Cerbère is a coastal commune in southern France near the Spanish border, known for its Mediterranean scenery and winegrowing tradition.
-
C.
Minotaur
The Minotaur is a legendary creature from Greek mythology, depicted as a fearsome monster with the body of a man and the head of a bull that dwelled in the Labyrinth of Crete.
-
D.
Kynos
Kynos was an ancient Greek city of Opuntian Locris, known from classical sources as a coastal settlement in central Greece.
-
E.
Karneios
Karneios is an ancient Greek month, particularly in the Spartan calendar, associated with the festival of Karneia in honor of Apollo Karneios.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f78d8288190871d54db0a7f454b |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.