Triple
T1916147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meir Dizengoff |
E40021
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Meir |
E175747
|
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: Meir | Statement: [Meir Dizengoff, givenName, Meir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meir Context triple: [Meir Dizengoff, givenName, Meir]
-
A.
Meir
chosen
Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
-
B.
Shlomo
Shlomo is the Hebrew name for King Solomon, the biblical monarch renowned for his wisdom, wealth, and the construction of the First Temple in Jerusalem.
-
C.
Yishai
Yishai is the Hebrew form of the biblical name Jesse, known as the father of King David in the Hebrew Bible.
-
D.
Shmuel
Shmuel is the Hebrew form of the biblical name Samuel, commonly used in Jewish religious and cultural contexts.
-
E.
Shimon
Shimon is a given name most notably borne by Shimon Peres, the former President and Prime Minister of Israel and Nobel Peace Prize laureate.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1e517e8819086e4bf5a305aeb25 |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3da81308190a49844a8ac2997da |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.