Triple
T25662089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Katznelson-Shazar |
E643410
|
entity |
| Predicate | spouseOfPresidentOf |
P29476
|
FINISHED |
| Object | State of Israel |
—
|
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: State of Israel | Statement: [Rachel Katznelson-Shazar, spouseOfPresidentOf, State of Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfPresidentOf Context triple: [Rachel Katznelson-Shazar, spouseOfPresidentOf, State of Israel]
-
A.
marriedToVicePresident
Indicates that one person is legally married to an individual who holds the office or role of vice president.
-
B.
marriedToUSPresident
Indicates being legally married to an individual who holds or has held the office of President of the United States.
-
C.
spouseOfLeader
Indicates that one entity is the married partner (spouse) of another entity who holds a leadership position.
-
D.
spouseOfHeadOfState
chosen
Indicates that one person is the spouse (married partner) of a head of state.
-
E.
inauguralHolderSpouseOf
Indicates that a person is the spouse of the first (inaugural) holder of a particular position, office, or title.
- 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_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 21, 2026, 6:55 p.m.