Triple
T25207054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Faulkner took 3 wickets for 36 runs |
E631280
|
entity |
| Predicate | oppositionCaptain |
P30625
|
FINISHED |
| Object | Brendon McCullum |
—
|
NE NERFINISHED |
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: Brendon McCullum | Statement: [James Faulkner took 3 wickets for 36 runs, oppositionCaptain, Brendon McCullum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oppositionCaptain Context triple: [James Faulkner took 3 wickets for 36 runs, oppositionCaptain, Brendon McCullum]
-
A.
opposedLeader
Indicates that one entity actively resisted, challenged, or worked against the leadership or authority of another entity.
-
B.
opposedLeaderSide2
Indicates that the second leader or side is in opposition to another leader or side in a conflict or contest.
-
C.
oppositionAlliance
Indicates a relationship where entities form or belong to an alliance that is collectively opposed to another entity or group.
-
D.
oppositionLeader
Indicates that one entity serves as the primary political leader of the opposition in relation to another governing entity.
-
E.
captainOpponent
chosen
Indicates that one entity serves as the captain or leader of a team that is competing against the other entity.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 12:52 p.m.