Triple
T49775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Gronkowski |
E978
|
entity |
| Predicate | namedFirstTeamAllPro |
P2648
|
FINISHED |
| Object | 4 times |
—
|
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: 4 times | Statement: [Rob Gronkowski, namedFirstTeamAllPro, 4 times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedFirstTeamAllPro Context triple: [Rob Gronkowski, namedFirstTeamAllPro, 4 times]
-
A.
joinedNFL
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
-
B.
hasSportsTeam
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
C.
finalMLBTeam
Indicates the Major League Baseball team with which an entity was last or ultimately associated, such as the final team they played for or were on the roster of.
-
D.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
-
E.
originalBAATeam
Indicates that an entity is (or was) a member of the original BAA team associated with another entity (such as an organization, project, or initiative).
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b6c9eb88190b2fe85e427f4177a |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac0fb088190b7a5e87817e8e747 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24b6b7638819095a86e2151635a02 |
completed | Feb. 28, 2026, 1:56 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.