Triple
T12254606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessie Fleming |
E292066
|
entity |
| Predicate | ageAtSeniorInternationalDebut |
P103739
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [Jessie Fleming, ageAtSeniorInternationalDebut, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtSeniorInternationalDebut Context triple: [Jessie Fleming, ageAtSeniorInternationalDebut, 15]
-
A.
playedForNationalTeamUntil
Indicates that an individual was a member of and actively played for a specified national team up to and including a particular end date or year.
-
B.
internationalTeamDebutYear
Indicates the year in which an entity (typically an athlete) first appeared in competition for an international team.
-
C.
madeWorldCupDebut
Indicates that an entity participated in their first-ever FIFA World Cup match or tournament in the specified year or event.
-
D.
internationalDebutOpponentTest
Indicates the opponent team against which an entity made its international Test debut.
-
E.
internationalDebutFor
Indicates that an entity made its first official appearance or performance at the international level representing a particular country, team, or organization.
- F. None of above. chosen
Provenance (4 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d91d3654208190a2e0487dfa1d54da |
completed | April 10, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:52 p.m.