Triple
T14145880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Stablinski |
E350547
|
entity |
| Predicate | professionalDebutInSport |
P60224
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Jean Stablinski, professionalDebutInSport, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalDebutInSport Context triple: [Jean Stablinski, professionalDebutInSport, 1950s]
-
A.
professionalDebutDivision
Indicates the competitive division or level in which an individual first began their professional career.
-
B.
madeProfessionalDebutIn
chosen
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
C.
professionalDebutCountry
Indicates the country in which an individual made their professional debut.
-
D.
professionalDebutTeam
Indicates the team for which an individual first appeared in a professional-level competition or league.
-
E.
olympicDebut
Indicates the event or year in which an entity first participated in the Olympic Games.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de612266248190a8591b646fe30ae6 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:53 a.m.