Triple
T36624808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Owen Hubbell |
E904140
|
entity |
| Predicate | eraTitleSeasons |
P186096
|
FINISHED |
| Object | 1933 |
—
|
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: 1933 | Statement: [Carl Owen Hubbell, eraTitleSeasons, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraTitleSeasons Context triple: [Carl Owen Hubbell, eraTitleSeasons, 1933]
-
A.
periodTitlesPerSeason
Indicates the number of titles or championships won during each season within a given period.
-
B.
seasonOfTitle
Indicates that one entity is a specific season or installment within the series or title represented by the other entity.
-
C.
classTitleSeason
Indicates that a title (such as a show or series) is associated with a specific season within its class or collection.
-
D.
season1RequiredTitles
Indicates that certain titles must be completed or present before or during participation in season 1.
-
E.
episodeTitle
Indicates that a given title string is the name of a specific episode within a series or program.
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:11 p.m.