Triple
T22019053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nachman Syrkin |
E543789
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nachman |
—
|
NE NERFINISHED |
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: Nachman | Statement: [Nachman Syrkin, givenName, Nachman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nachman Context triple: [Nachman Syrkin, givenName, Nachman]
-
A.
Nachman
chosen
Nachman is a masculine given name of Hebrew origin, traditionally used in Jewish communities.
-
B.
Menashe Kadishman
Menashe Kadishman was an Israeli sculptor and painter renowned for his minimalist steel sculptures and iconic series of painted sheep.
-
C.
Nachman Krochmal
Nachman Krochmal was a 19th-century Galician Jewish philosopher and historian whose work helped lay the foundations for the modern academic study of Judaism.
-
D.
Meir Henoch
Meir Henoch is the given name of Meir Henoch Wallach-Finkelstein, a historical figure identifiable primarily through this full personal name.
-
E.
Chaim
Chaim is a given name notably borne by Chaim Weizmann, the first President of the State of Israel and a prominent Zionist leader and chemist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c5929881908458d07bd33c5edd |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.