Triple
T24623667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jude Bellingham |
E609478
|
entity |
| Predicate | ageAtSeniorClubDebut |
P156783
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Jude Bellingham, ageAtSeniorClubDebut, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtSeniorClubDebut Context triple: [Jude Bellingham, ageAtSeniorClubDebut, 16]
-
A.
ageAtSeniorInternationalDebut
Indicates the age a person was when they first appeared in a senior-level international event or competition.
-
B.
seniorDebutYear
Indicates the year in which an entity first began competing or participating at the senior (top-level) category.
-
C.
hasSeniorClubExperience
Indicates that an individual has played for or been a member of a senior-level (adult/professional) sports club.
-
D.
ageAtDebutHit
Indicates the age a person was when they achieved their first notable or hit success (e.g., debut hit).
-
E.
leftClubYear
Indicates the year in which an entity departed or ceased membership from a particular club.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.