Triple
T29719251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Slenczynska |
E752001
|
entity |
| Predicate | ageAtEuropeanDebut |
P163249
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Ruth Slenczynska, ageAtEuropeanDebut, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtEuropeanDebut Context triple: [Ruth Slenczynska, ageAtEuropeanDebut, 6]
-
A.
euroDebut
Indicates the event or relationship in which an entity makes its first appearance or participation in a European competition or context.
-
B.
ageAtWorldCupDebut
Indicates the age a person was when they first appeared in a World Cup match or tournament.
-
C.
ageAtSeniorInternationalDebut
Indicates the age a person was when they first appeared in a senior-level international event or competition.
-
D.
madeDebutAtAge
chosen
Indicates the age at which an entity first appeared, performed, or participated in a particular field, event, or activity.
-
E.
madeLeagueDebutAge
Indicates the age at which an entity first appeared in an official league match or competition.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672f8e69481908e5c6ad58028be34 |
completed | May 2, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:35 p.m.