Triple
T32191424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Ferris |
E822263
|
entity |
| Predicate | episodePositionInSeries |
P13421
|
FINISHED |
| Object | series premiere character |
—
|
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: series premiere character | Statement: [Mike Ferris, episodePositionInSeries, series premiere character]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: episodePositionInSeries Context triple: [Mike Ferris, episodePositionInSeries, series premiere character]
-
A.
episodeNumberInSeries
chosen
Indicates the specific sequential position an episode occupies within its overall series.
-
B.
episodeNumberInSeason
Indicates the specific sequential position an episode holds within a particular season of a series.
-
C.
hasPartOfSeriesPosition
Indicates that an entity occupies a specific position or order within a larger series or sequence.
-
D.
positionInSeason
Indicates the specific ordinal placement or ranking of something within the sequence of items in a season.
-
E.
episodeSeason
Indicates that an episode belongs to, or is part of, a specific season within a series.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bacd999081908a22bc7e79c57b97 |
completed | May 3, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.