Triple
T33941534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorial Day Miracle |
E870178
|
entity |
| Predicate | gaveTeamLead |
P177947
|
FINISHED |
| Object | San Antonio Spurs |
—
|
NE NERFINISHED |
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: San Antonio Spurs | Statement: [Memorial Day Miracle, gaveTeamLead, San Antonio Spurs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaveTeamLead Context triple: [Memorial Day Miracle, gaveTeamLead, San Antonio Spurs]
-
A.
teamLead
Indicates that one entity serves as the leader or primary coordinator of a team that includes the other entity.
-
B.
wasLeaderOnTeam
Indicates that a person held a leadership role on a particular team.
-
C.
managedTeamTo
Indicates that one entity had managerial responsibility or oversight over the specified team.
-
D.
managedTeam
Indicates that one entity had responsibility for directing, supervising, and coordinating the work of another group or team.
-
E.
managedTeamFrom
Indicates that one entity led, directed, or supervised a team originating from or based in another specified 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f7064d37388190993b2a7305a02b9f |
completed | May 3, 2026, 8:24 a.m. |
Created at: May 1, 2026, 1:49 a.m.