Triple
T457757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moetzet HaAm |
E7269
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | David Remez |
E82311
|
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: David Remez | Statement: [Moetzet HaAm, member, David Remez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Remez Context triple: [Moetzet HaAm, member, David Remez]
-
A.
Arie Arnon
Arie Arnon is an Israeli economist and peace activist recognized internationally for his contributions to promoting peace and justice, including being honored with the Sydney Peace Prize.
-
B.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
C.
Eliyahu Sasson
chosen
Eliyahu Sasson was an Israeli politician and diplomat who played a significant role in the early political institutions of the State of Israel.
-
D.
Dov Karmi
Dov Karmi was a prominent Israeli architect known for helping shape the modernist architectural landscape of Tel Aviv and other parts of Israel in the mid-20th century.
-
E.
Neil Meron
Neil Meron is an American film and television producer best known for his work on acclaimed musical adaptations and award-winning projects such as "Chicago."
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efa3163081909acff040a22bd559 |
completed | Feb. 28, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c000b64c819091140b7c3718acf6 |
completed | March 4, 2026, 5:15 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.