Triple
T16143606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 NBA Finals |
E391721
|
entity |
| Predicate | recordContextWarriors |
P121282
|
FINISHED |
| Object | best regular-season record in NBA history |
—
|
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: best regular-season record in NBA history | Statement: [2016 NBA Finals, recordContextWarriors, best regular-season record in NBA history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordContextWarriors Context triple: [2016 NBA Finals, recordContextWarriors, best regular-season record in NBA history]
-
A.
notablePlayerWarriors
Indicates that a person is a notable or prominent player for the Golden State Warriors basketball team.
-
B.
leagueContext
Indicates the broader league or competition setting within which the relationship or action takes place.
-
C.
renamedGoldenStateWarriors
Indicates that an entity has changed its name to "Golden State Warriors."
-
D.
estimatedWarriors
Indicates an approximate or inferred count of warriors associated with a given entity or context.
-
E.
recordOpponent
Indicates that one entity is documented or registered as the opposing party or competitor of another entity.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d91925c81909839a4e2f189d23b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1835b64948190ae1d2a9d4cc64acf |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 5:01 a.m.