Triple
T4023518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weizmann |
E91335
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Ezer Weizman |
E262816
|
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: Ezer Weizman | Statement: [Weizmann, hasNotableBearer, Ezer Weizman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ezer Weizman Context triple: [Weizmann, hasNotableBearer, Ezer Weizman]
-
A.
Ezer Weizman
chosen
Ezer Weizman was an Israeli military commander and politician who served as the seventh President of Israel and previously as a key architect of the Israeli Air Force.
-
B.
Yigal Allon
Yigal Allon was an Israeli military commander, Palmach leader, and politician who served in senior government roles, including acting prime minister.
-
C.
Yitzhak Navon
Yitzhak Navon was an Israeli politician, diplomat, and writer who served as the fifth President of Israel and was known for promoting cultural diversity and peace.
-
D.
Oren Uziel
Oren Uziel is an American screenwriter and filmmaker known for genre-blending projects such as The Cloverfield Paradox and 22 Jump Street.
-
E.
Amnon Yariv
Amnon Yariv is an Israeli-American physicist and electrical engineer renowned for his pioneering contributions to lasers, optoelectronics, and photonics theory.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeface7a788190a0e4e549a6816f91 |
completed | March 9, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b47294c8190871f4a6a57b3470f |
completed | March 14, 2026, 2:05 p.m. |
Created at: March 9, 2026, 3:35 p.m.