Triple
T35622123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali |
E1029342
|
entity |
| Predicate | partnerAgeDifference |
P125146
|
FINISHED |
| Object | significantly younger than Emmi Kurowski |
—
|
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: significantly younger than Emmi Kurowski | Statement: [Ali, partnerAgeDifference, significantly younger than Emmi Kurowski]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerAgeDifference Context triple: [Ali, partnerAgeDifference, significantly younger than Emmi Kurowski]
-
A.
spouseAgeDifference
Indicates the age gap between two individuals who are spouses in a marital relationship.
-
B.
relativeAgeInference
Indicates an inferred ordering of ages between entities, specifying which one is relatively older or younger based on available information.
-
C.
relativeAgeStatus
chosen
Indicates a comparative relationship specifying how the age of one entity relates to the age of another (e.g., older, younger, or same age).
-
D.
hasRelativeAge
Indicates that one entity has an age that is defined or compared in relation to the age of another entity.
-
E.
ageCorrelation
Indicates a statistical relationship between the ages of two entities, showing how changes in one entity’s age are associated with changes in the other’s.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:05 p.m.