Triple
T21961929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Three (Boston Celtics) |
E542350
|
entity |
| Predicate | franchiseChampionshipNumber |
P32585
|
FINISHED |
| Object | 17th title for 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: 17th title for Boston Celtics | Statement: [Big Three (Boston Celtics), franchiseChampionshipNumber, 17th title for Boston Celtics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseChampionshipNumber Context triple: [Big Three (Boston Celtics), franchiseChampionshipNumber, 17th title for Boston Celtics]
-
A.
championshipNumberForFranchise
chosen
Indicates the number of championships that have been won by a given franchise.
-
B.
championshipNumberForTeam
Indicates the total number of championships that a given team has won.
-
C.
finalsAppearanceForChampionFranchiseNumber
Indicates the number of times a franchise that has won a championship has appeared in the finals.
-
D.
championshipSeries
Indicates a competitive series of contests or games that determines a champion between qualifying participants.
-
E.
isOnlyChampionshipForFranchise
Indicates that the referenced championship is the sole title ever won by that franchise.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124572738819098cc669aafa53cc6 |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8 p.m.