Triple
T1534122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula Ben-Gurion |
E32511
|
entity |
| Predicate | spouseOfOfficeholder |
P26554
|
FINISHED |
| Object | Prime Minister of Israel |
—
|
LITERAL 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: Prime Minister of Israel | Statement: [Paula Ben-Gurion, spouseOfOfficeholder, Prime Minister of Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfOfficeholder Context triple: [Paula Ben-Gurion, spouseOfOfficeholder, Prime Minister of Israel]
-
A.
spouseOffice
chosen
Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
-
B.
spouseOfHonouree
Indicates that one person is the spouse (married partner) of the honouree.
-
C.
spouse
Indicates that two entities are married to each other in a legally or socially recognized partnership.
-
D.
marriedToUSPresident
Indicates being legally married to an individual who holds or has held the office of President of the United States.
-
E.
firstHolderSpouseOf
Indicates that the first holder in the relation is the spouse (married partner) of the other holder.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.