Triple
T25662098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Katznelson-Shazar |
E643410
|
entity |
| Predicate | partnerInPoliticalLifeWith |
P109619
|
FINISHED |
| Object | Zalman Shazar |
—
|
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: Zalman Shazar | Statement: [Rachel Katznelson-Shazar, partnerInPoliticalLifeWith, Zalman Shazar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInPoliticalLifeWith Context triple: [Rachel Katznelson-Shazar, partnerInPoliticalLifeWith, Zalman Shazar]
-
A.
partnerInPolitics
chosen
Indicates that two entities are political partners, collaborating or aligned in political activities, campaigns, or governance.
-
B.
partnerInReformWith
Indicates that two entities collaborate as partners in carrying out or supporting a reform effort.
-
C.
partnerInGovernmentWith
Indicates that two entities share a formal partnership or coalition role within the same governmental structure or administration.
-
D.
partnerInMinistryWith
Indicates a collaborative relationship in which two or more entities work together in religious or spiritual ministry.
-
E.
hasPoliticalAlly
Indicates that one entity supports and cooperates with another in a political context, treating them as an ally in political activities or objectives.
- F. None of above.
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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 6:55 p.m.