Triple
T10841588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zofia Gomułkowa |
E255897
|
entity |
| Predicate | spouse political role |
P26554
|
FINISHED |
| Object | leader of communist Poland |
—
|
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: leader of communist Poland | Statement: [Zofia Gomułkowa, spouse political role, leader of communist Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouse political role Context triple: [Zofia Gomułkowa, spouse political role, leader of communist Poland]
-
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.
spousePoliticalActivity
Indicates that one person’s spouse engages in political actions, involvement, or advocacy connected to that person or their role.
-
C.
spouseLaterOffice
Indicates that one person’s spouse held a particular office or position at a later time than the person in question.
-
D.
spousePoliticalAlignment
Indicates that two individuals are spouses and specifies the political alignment or affiliation associated with that spousal relationship.
-
E.
spousePoliticalMovement
Indicates that the political movement is one with which the spouse of the subject is affiliated or identified.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750ccb95c81908fec4885e6172f78 |
completed | April 9, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d25280c8190b648d7d1958b413a |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.