Triple
T15948554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvin Murphy |
E386751
|
entity |
| Predicate | playedForFranchiseThroughoutNBAcareer |
P14860
|
FINISHED |
| Object | Rockets franchise |
—
|
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: Rockets franchise | Statement: [Calvin Murphy, playedForFranchiseThroughoutNBAcareer, Rockets franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForFranchiseThroughoutNBAcareer Context triple: [Calvin Murphy, playedForFranchiseThroughoutNBAcareer, Rockets franchise]
-
A.
playedInNBA
Indicates that the subject has participated as a player in at least one official National Basketball Association (NBA) game.
-
B.
playedEntireCareerForSingleFranchise
chosen
Indicates that an athlete spent their entire professional career playing for only one franchise or team.
-
C.
NBAFinalsAppearances
Indicates the number of times an entity has participated in the NBA Finals series.
-
D.
NBASeasonsPlayed
Indicates the number of seasons an entity has participated in the NBA.
-
E.
hasNBAFranchiseHistoryFrom
Indicates that an entity has a history of operating an NBA franchise originating from a specified location or organization.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.