Triple
T35801162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Paul Steuer |
E1034980
|
entity |
| Predicate | seasonCountOnGraceUnderFire |
P57054
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Jon Paul Steuer, seasonCountOnGraceUnderFire, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonCountOnGraceUnderFire Context triple: [Jon Paul Steuer, seasonCountOnGraceUnderFire, 3]
-
A.
seasonNumberInCurrentFormat
Indicates the season number assigned to something according to the current numbering or formatting scheme.
-
B.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
-
C.
seasonNumberInClassicSeries
Indicates the specific season number that an installment occupies within the classic/original run of a series.
-
D.
seasonCountDetail
chosen
Indicates the specific number of seasons associated with something, often including additional contextual details about that season count.
-
E.
seasonNumberInConferenceHistory
Indicates the ordinal number of a particular season within the overall chronological history of a conference.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 3, 2026, 4:06 p.m.