Triple
T37859119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Believe Warriors |
E944273
|
entity |
| Predicate | firstRoundOpponent2007 |
P146412
|
FINISHED |
| Object | Dallas Mavericks |
E11567
|
NE 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: Dallas Mavericks | Statement: [We Believe Warriors, firstRoundOpponent2007, Dallas Mavericks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRoundOpponent2007 Context triple: [We Believe Warriors, firstRoundOpponent2007, Dallas Mavericks]
-
A.
firstRoundOpponent
chosen
Indicates that one entity is the opponent another entity faces in the first round of a competition or tournament.
-
B.
firstRoundSeventhPlace
Indicates that an entity finished in seventh place in the first round of a competition or event.
-
C.
fourthRoundOpponent
Indicates that one entity is the opponent faced by another entity in the fourth round of a competition or tournament.
-
D.
thirdRoundOpponent
Indicates that one entity is the opponent faced by another entity in the third round of a competition or tournament.
-
E.
mainOpponentAllianceInSecondRound
Indicates that an entity’s primary opponent is part of a specified alliance during the second round of a competition or process.
- F. None of above.
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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40fb9a26948190af8bca17cdab6fc2 |
completed | June 28, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:19 p.m.