Triple
T15850744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Newton |
E384329
|
entity |
| Predicate | numberOfLeagueTitlesInJapan |
P63945
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Jeff Newton, numberOfLeagueTitlesInJapan, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLeagueTitlesInJapan Context triple: [Jeff Newton, numberOfLeagueTitlesInJapan, multiple]
-
A.
JapanSeriesTitleCount
Indicates the number of series titles associated with or released in Japan.
-
B.
JapanSeriesTitles
Indicates that the subject is a title belonging to a series originating from or specifically released in Japan.
-
C.
numberOfLeagueTitles
chosen
Indicates the total count of league championship titles that an entity has won.
-
D.
JapanSeriesTitle
Indicates that the given title is the name used for a series in Japan.
-
E.
JapanSeriesAppearances
Indicates that an entity appears in, or has appearances within, a series originating from or associated with Japan.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.