Triple
T12723007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daphne Mitsotaki |
E304031
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mitsotaki |
E994834
|
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: Mitsotaki | Statement: [Daphne Mitsotaki, familyName, Mitsotaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitsotaki Context triple: [Daphne Mitsotaki, familyName, Mitsotaki]
-
A.
Mitsotaki
chosen
Mitsotaki is a Greek surname associated with the prominent Mitsotakis political family in Greece.
-
B.
Mitsos
Mitsos is a common Greek diminutive form of the male given name Demetrios (Dimitrios).
-
C.
Mitsamiouli
Mitsamiouli is a coastal town on the island of Grande Comore in the Comoros, known for its beaches and role as a local tourism and fishing center.
-
D.
Tokashiki
Tokashiki is a small island municipality in Okinawa Prefecture, Japan, known for its clear waters, coral reefs, and popular diving and snorkeling spots within the Kerama Islands.
-
E.
Takeno
Takeno was a former town in Hyōgo Prefecture, Japan, that became part of the expanded city of Toyooka following a municipal merger.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c841edc81909147d30c51471c47 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:24 p.m.