Triple
T23809793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Whiteside |
E589818
|
entity |
| Predicate | madeSeniorInternationalDebutYear |
P63882
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [Norman Whiteside, madeSeniorInternationalDebutYear, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeSeniorInternationalDebutYear Context triple: [Norman Whiteside, madeSeniorInternationalDebutYear, 1982]
-
A.
ageAtSeniorInternationalDebut
Indicates the age a person was when they first appeared in a senior-level international event or competition.
-
B.
internationalDebutFor
Indicates that an entity made its first official appearance or performance at the international level representing a particular country, team, or organization.
-
C.
seniorDebutYear
chosen
Indicates the year in which an entity first began competing or participating at the senior (top-level) category.
-
D.
firstKnownTournamentYear
Indicates the year in which a tournament was first known to have been held.
-
E.
worldChampionshipDebut
Indicates the event or occasion on which an entity first appeared or participated in a world championship.
- 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_69e25d19fecc8190a5cf39bbb18d5d7f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7549c44819099b9e7eb36747f38 |
completed | April 29, 2026, 8:54 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:56 p.m.