Triple
T13778358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayan |
E331070
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Moshe Dayan |
E65417
|
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: Moshe Dayan | Statement: [Dayan, hasNotableBearer, Moshe Dayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moshe Dayan Context triple: [Dayan, hasNotableBearer, Moshe Dayan]
-
A.
Moshe Dayan
chosen
Moshe Dayan was an Israeli military leader and politician, famed for his role in shaping Israel’s defense strategy and his iconic eye-patch symbolizing the country’s early wars.
-
B.
Ehud Dayan
Ehud Dayan is one of the children of famed Israeli military leader and politician Moshe Dayan.
-
C.
Yigal Allon
Yigal Allon was an Israeli military commander, Palmach leader, and politician who served in senior government roles, including acting prime minister.
-
D.
Haim Bar-Lev
Haim Bar-Lev was an Israeli military leader and politician, best known as IDF Chief of Staff and for the Bar-Lev Line defensive system along the Suez Canal.
-
E.
Shaul Mofaz
Shaul Mofaz is an Israeli military leader and politician who served as Chief of the General Staff of the Israel Defense Forces and later as Israel’s Minister of Defense.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1b8689c8190b3ef7416000ef89e |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 9, 2026, 10:11 p.m.