Triple
T26924741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Grand Slam |
E677746
|
entity |
| Predicate | season2Prize |
P173211
|
FINISHED |
| Object | 1000000 USD |
—
|
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: 1000000 USD | Statement: [Intel Grand Slam, season2Prize, 1000000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: season2Prize Context triple: [Intel Grand Slam, season2Prize, 1000000 USD]
-
A.
season1Prize
Indicates the prize or reward associated with the first season of a series, competition, or event.
-
B.
season2Premise
Indicates that the subject is the central premise or main storyline for the second season of the referenced series or show.
-
C.
nextSeasonAward
Indicates that an award is given in the season immediately following a referenced season or event.
-
D.
awardInSeason
Indicates that an award was given during a specific season or seasonal period.
-
E.
secondSeasonChampion
Indicates that the subject is the champion or winner of the second season of a competition, series, or event in relation to the object.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6b342499c8190b85009a3f0f179e4 |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b2a31e008190aacef03c2ebe5787 |
completed | May 3, 2026, 2:27 a.m. |
Created at: April 27, 2026, 6:09 a.m.