Triple
T26924734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Grand Slam |
E677746
|
entity |
| Predicate | season1RequiredTitles |
P170638
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Intel Grand Slam, season1RequiredTitles, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: season1RequiredTitles Context triple: [Intel Grand Slam, season1RequiredTitles, 4]
-
A.
seasonOfTitle
Indicates that one entity is a specific season or installment within the series or title represented by the other entity.
-
B.
classTitleSeason
Indicates that a title (such as a show or series) is associated with a specific season within its class or collection.
-
C.
periodTitlesPerSeason
Indicates the number of titles or championships won during each season within a given period.
-
D.
season1Subtitle
Indicates that one entity is the subtitle or subheading associated specifically with the first season of another entity.
-
E.
season2Title
Indicates that the object is the title of the second season of the subject.
- 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_69f693ffa7908190aa4c451b16df9be6 |
completed | May 3, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 27, 2026, 6:09 a.m.