Triple
T9500730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menahem Pressler |
E229131
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Menahem |
E670491
|
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: Menahem | Statement: [Menahem Pressler, givenName, Menahem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menahem Context triple: [Menahem Pressler, givenName, Menahem]
-
A.
Menahem
chosen
Menahem is a Hebrew given name, traditionally meaning "comforter" or "one who consoles," used in Jewish communities and sometimes anglicized as Menachem.
-
B.
Avigdor
Avigdor is a Hebrew given name of biblical origin, traditionally used in Jewish communities.
-
C.
Yitzhak
Yitzhak is a Hebrew given name traditionally associated with the biblical patriarch Isaac and commonly used in Jewish communities.
-
D.
Yigal Allon
Yigal Allon was an Israeli military commander, Palmach leader, and politician who served in senior government roles, including acting prime minister.
-
E.
Ehud Dayan
Ehud Dayan is one of the children of famed Israeli military leader and politician Moshe Dayan.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983c308c8190bde6858ac1ca8ea5 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a0a5ec881908bb1643d2bea2c9f |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:57 p.m.