Triple
T19041626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth |
E466016
|
entity |
| Predicate | nameInGreek |
P3659
|
FINISHED |
| Object | Ἐλισάβετ (Elisabet) |
—
|
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: Ἐλισάβετ (Elisabet) | Statement: [Elizabeth, nameInGreek, Ἐλισάβετ (Elisabet)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ἐλισάβετ (Elisabet) Context triple: [Elizabeth, nameInGreek, Ἐλισάβετ (Elisabet)]
-
A.
Elisabeth
chosen
Elisabeth is a feminine given name of Hebrew origin, commonly used in various European languages as a form of Elizabeth.
-
B.
Elisabeth
Elisabeth is a metro station on the Brussels Metro system in Brussels, Belgium.
-
C.
Alexandrina
Alexandrina was the first given name of Queen Victoria, the long-reigning 19th-century British monarch.
-
D.
Elisabeta
Elisabeta is a given name used in various European languages, corresponding to the English name Elizabeth.
-
E.
Princess Elizabeth of Greece and Denmark
Princess Elizabeth of Greece and Denmark was a Greek and Danish royal princess of the early 20th century, known as a member of the House of Glücksburg and for her connections to several European royal families.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80118248190af6b4c74df5085ad |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:03 p.m.