Triple
T4757160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thanatos |
E105615
|
entity |
| Predicate | contrastedWith |
P278
|
FINISHED |
| Object | Keres |
E249771
|
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: Keres | Statement: [Thanatos, contrastedWith, Keres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keres Context triple: [Thanatos, contrastedWith, Keres]
-
A.
Keres
chosen
Keres are female death-spirits from Greek mythology associated with violent death and the battlefield, often depicted as dark, bloodthirsty beings who seize the souls of the dying.
-
B.
Keratea
Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
-
C.
Karesz
Karesz is a Hungarian diminutive form of the male given name Károly.
-
D.
Kezlev
Kezlev is the historical Crimean Tatar name for the city now known as Eupatoria, a coastal town on the western shore of Crimea.
-
E.
Kenderes
Kenderes is a town in Hungary best known as the birthplace and family estate center of Regent Miklós Horthy.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64ec16a0819089836e4388b555f6 |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43b837408190a3de13930e3e5e19 |
completed | March 21, 2026, 7:07 a.m. |
Created at: March 20, 2026, 1:20 p.m.