Triple
T29719250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Slenczynska |
E752001
|
entity |
| Predicate | ageAtFirstPublicPerformance |
P163249
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Ruth Slenczynska, ageAtFirstPublicPerformance, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtFirstPublicPerformance Context triple: [Ruth Slenczynska, ageAtFirstPublicPerformance, 4]
-
A.
firstPerformanceAt
Indicates the location or event at which an entity (such as a work or performance) was first performed.
-
B.
madeDebutAtAge
chosen
Indicates the age at which an entity first appeared, performed, or participated in a particular field, event, or activity.
-
C.
dateOfFirstPerformance
Indicates the date on which a work, such as a play or musical composition, was first publicly performed.
-
D.
firstPerformanceBy
Indicates that the referenced performance is the earliest or debut performance carried out by the specified entity.
-
E.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
- 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_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:35 p.m.