Triple
T13754938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assi Dayan |
E330450
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Smadar |
E407632
|
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: Smadar | Statement: [Assi Dayan, notableWork, Smadar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smadar Context triple: [Assi Dayan, notableWork, Smadar]
-
A.
Savyon
Savyon is an affluent residential town in central Israel known for its spacious villas, high standard of living, and proximity to Tel Aviv.
-
B.
Davida
Davida is a feminine given name, often considered a variant of David or Davina, used in various cultures.
-
C.
Sigal
Sigal was an ancient city that served as the political and administrative center of the Indo-Parthian kingdom in South Asia.
-
D.
Yatomi
Yatomi is a city in central Japan known for its location in Aichi Prefecture and its role as a local residential and agricultural community.
-
E.
Ayelet
chosen
Ayelet is a feminine given name of Hebrew origin, commonly used in Israel.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02179c948190a652cc8c586e418f |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a859e6748190aa1899830a02b710 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:09 p.m.