Triple
T821802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Thibault |
E17763
|
entity |
| Predicate | teamChampionshipWon |
P10054
|
FINISHED |
| Object | 2019 WNBA championship with the Washington Mystics |
—
|
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: 2019 WNBA championship with the Washington Mystics | Statement: [Mike Thibault, teamChampionshipWon, 2019 WNBA championship with the Washington Mystics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamChampionshipWon Context triple: [Mike Thibault, teamChampionshipWon, 2019 WNBA championship with the Washington Mystics]
-
A.
championshipWithTeam
chosen
Indicates that an entity has won or holds a championship title specifically while being a member of a particular team.
-
B.
teamChampionshipsUnderOwnership
Indicates the number of championships a team has won during the period it has been under a specific ownership.
-
C.
teamAchievement
Indicates that a group of individuals collectively accomplished a shared goal or met a performance milestone.
-
D.
wonNBAchampionshipWith
Indicates that an individual or team secured an NBA championship title while being a member of, or playing for, a specific team.
-
E.
mostAwardsHolderTeam
Indicates the team that holds the highest number of awards within a given set or competition.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab976094819086d676404d745750 |
completed | March 1, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69a4aa76a7808190ac7fd9ba1a4cebcb |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.