Triple
T16766395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayelet Zurer |
E407474
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zurer |
E407474
|
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: Zurer | Statement: [Ayelet Zurer, familyName, Zurer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zurer Context triple: [Ayelet Zurer, familyName, Zurer]
-
A.
Zurer
chosen
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
-
B.
Zuberera
Zuberera is an alternative name for the Souletin dialect of the Basque language, spoken in the Soule region of the French Basque Country.
-
C.
Zuestoll
Zuestoll is a prominent mountain peak in the Churfirsten range of the Swiss Alps, known for its steep limestone faces and panoramic views over Lake Walen.
-
D.
Zuehl
Zuehl is an unincorporated community in Texas, United States, known for its rural character and small-town atmosphere.
-
E.
Zemba
Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0330d6081908ce99f14c70b90f2 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a531ea7c81908630f16f6c685d49 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.