Triple
T37328075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Broad |
E926663
|
entity |
| Predicate | tookHatTrickAgainst |
P164268
|
FINISHED |
| Object | India |
—
|
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: India | Statement: [Stuart Broad, tookHatTrickAgainst, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookHatTrickAgainst Context triple: [Stuart Broad, tookHatTrickAgainst, India]
-
A.
scoredHatTrickAgainst
chosen
Indicates that one entity scored three goals in a single game against another entity.
-
B.
scoredHatTrickAt
Indicates that an entity (typically a player) scored three goals in a single game or match that took place at the specified location or event.
-
C.
mostValuablePlayerHatTrick
Indicates that the entity identified as the most valuable player achieved a hat trick (three scoring actions) in the referenced context or event.
-
D.
wonAt
Indicates that one entity achieved victory or success in a specific event, competition, or context.
-
E.
trophyWonWith
Indicates that a particular trophy or award was achieved using, through, or in association with a specified means, tool, team, or context.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.