Triple
T541388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McClymonds High School |
E12636
|
entity |
| Predicate | Bill RussellAttended |
P15461
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [McClymonds High School, Bill RussellAttended, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Bill RussellAttended Context triple: [McClymonds High School, Bill RussellAttended, true]
-
A.
NBA_75thAnniversaryTeamMember
Indicates that an individual was selected as a member of the NBA’s official 75th Anniversary Team.
-
B.
notableHallOfFamer
Indicates that the subject is recognized as a particularly distinguished or prominent member of a hall of fame.
-
C.
playedCollegeBasketballFor
Indicates that a person was a member of and competed for a specific college or university’s basketball team.
-
D.
leaguePresidentAL
Indicates that the subject serves as the president of the specified league in the American League (AL) context.
-
E.
wonNBAchampionshipWith
Indicates that an individual or team secured an NBA championship title while being a member of, or playing for, a specific team.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49861195081909540eaf402a5401a |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b67c308190a1a225ab7c4b74c6 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.