Triple
T16066573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omer |
E389746
|
entity |
| Predicate | hasNotableBearerExample |
P458
|
FINISHED |
| Object | Omer Bar-Lev |
E1145977
|
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: Omer Bar-Lev | Statement: [Omer, hasNotableBearerExample, Omer Bar-Lev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omer Bar-Lev Context triple: [Omer, hasNotableBearerExample, Omer Bar-Lev]
-
A.
Omer Bar-Lev
chosen
Omer Bar-Lev is an Israeli politician and former military officer who has served as a member of the Knesset and held senior roles in Israel’s security and public safety establishment.
-
B.
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.
-
C.
Oren Uziel
Oren Uziel is an American screenwriter and filmmaker known for genre-blending projects such as The Cloverfield Paradox and 22 Jump Street.
-
D.
Moshe Edery
Moshe Edery is an Israeli film producer and distributor known for his significant role in the Israeli cinema industry.
-
E.
Uri Tadmor
Uri Tadmor is a linguist known for his research on Austronesian languages, particularly the Lamaholot language of eastern Indonesia.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837ca628819081dfc439fe322d58 |
completed | April 17, 2026, 12:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec4d9808190a3d1bfc8f3d73168 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.