Triple
T15784057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dustin Brown |
E382689
|
entity |
| Predicate | roleInChampionships |
P119992
|
FINISHED |
| Object | team captain |
—
|
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: team captain | Statement: [Dustin Brown, roleInChampionships, team captain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInChampionships Context triple: [Dustin Brown, roleInChampionships, team captain]
-
A.
conferenceChampionshipAppearances
Indicates the number of times an entity has participated in a conference championship event or game.
-
B.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
C.
associatedChampionshipCount
Indicates the number of championships that are linked or related to a given entity.
-
D.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or competition.
-
E.
championshipsHelpedWin
Indicates that one entity contributed to another entity winning one or more championships.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05401c4788190a31c180953433db9 |
completed | April 16, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e006b17f7881908b8c7a37f0af4581 |
completed | April 15, 2026, 9:44 p.m. |
Created at: April 10, 2026, 4:48 a.m.