Triple
T9601802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kid |
E231866
|
entity |
| Predicate | subjectNBAChampionship |
P89174
|
FINISHED |
| Object | 2008 with Boston Celtics |
—
|
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: 2008 with Boston Celtics | Statement: [The Kid, subjectNBAChampionship, 2008 with Boston Celtics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectNBAChampionship Context triple: [The Kid, subjectNBAChampionship, 2008 with Boston Celtics]
-
A.
NBAchampionships
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
B.
nbaChampion
Indicates that a team has won the NBA championship title for a given season or year.
-
C.
NBAchampionshipYears
Indicates the specific years in which an entity (typically a team) won an NBA championship.
-
D.
NBAChampion
Indicates that an entity has won the National Basketball Association (NBA) championship title for a given season.
-
E.
NBAChampionshipTeam
Indicates that a team has won the NBA championship title for a given season.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a3a49608190ad1f65195e4d5cda |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93fc45c8190a823305e461e581d |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:07 p.m.