Triple
T12777921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herzi Halevi |
E305426
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Herzi Halevi |
E305426
|
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: Herzi Halevi | Statement: [Herzi Halevi, name, Herzi Halevi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herzi Halevi Context triple: [Herzi Halevi, name, Herzi Halevi]
-
A.
Herzi Halevi
chosen
Herzi Halevi is an Israeli military leader who serves as the Chief of Staff of the Israel Defense Forces, overseeing the country's armed forces and strategic military operations.
-
B.
Nissim Ze'ev
Nissim Ze'ev is an Israeli rabbi and politician best known as a founding leader of the ultra-Orthodox Sephardic Shas party and long-serving member of the Knesset.
-
C.
Menashe Noy
Menashe Noy is an Israeli actor known for his roles in film and television, including the espionage drama series "Tehran."
-
D.
Abraham Yehoshua
Abraham Yehoshua was a prominent Israeli novelist, essayist, and playwright, widely regarded as one of the leading figures in modern Hebrew literature.
-
E.
Moshe Aviv
Moshe Aviv was an Israeli businessman and real estate developer best known for his major role in shaping modern Israeli urban skylines.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e595e008190b42dff3012d17d66 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685013e0481908db09302a2ced207 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.