Triple
T9775097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Carter |
E237225
|
entity |
| Predicate | AllBlacksRetirementYear |
P43717
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Dan Carter, AllBlacksRetirementYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AllBlacksRetirementYear Context triple: [Dan Carter, AllBlacksRetirementYear, 2015]
-
A.
retirementYearAsPlayer
Indicates the year in which an individual ended their career as an active player.
-
B.
hasJerseyNumberRetired
Indicates that an entity has had its jersey number officially retired, typically in recognition of its contributions or achievements.
-
C.
nbaTeamNumberRetiredBy
Indicates that a specific jersey number has been officially retired by a particular NBA team in honor of a player or significant contribution.
-
D.
nationalTeamRetirementYear
chosen
Indicates the year in which an individual ended their participation in a national team.
-
E.
hallOfFameInductionYear
Indicates the year in which an entity was formally inducted into a hall of fame.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13148288190bcbb3b4a066d9fc1 |
completed | April 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.