Triple
T27413331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willie Brown (cornerback) |
E692821
|
entity |
| Predicate | hasBallGameRole |
P117304
|
FINISHED |
| Object | defensive back |
—
|
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: defensive back | Statement: [Willie Brown (cornerback), hasBallGameRole, defensive back]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBallGameRole Context triple: [Willie Brown (cornerback), hasBallGameRole, defensive back]
-
A.
usesBallSport
Indicates that an activity or event involves the use of a ball as part of a sport.
-
B.
hasSportsRole
chosen
Indicates that an entity holds or is assigned a specific role or position within a sports context or organization.
-
C.
ballInPlay
Indicates that the ball is currently active and in play within the context of a game or match.
-
D.
hasBallcourt
Indicates that a place, structure, or site includes or is equipped with a ballcourt as one of its features.
-
E.
hasPlayingRole
Indicates that an entity participates in an activity, event, or performance in a specific playing role or capacity.
- 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_69ef5208617081908f731d312e0fd1bc |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 12:33 p.m.