Triple
T32189651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluebell medical clinic |
E822201
|
entity |
| Predicate | introducedInEpisodeType |
P121401
|
FINISHED |
| Object | pilot episode of Hart of Dixie |
—
|
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: pilot episode of Hart of Dixie | Statement: [Bluebell medical clinic, introducedInEpisodeType, pilot episode of Hart of Dixie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedInEpisodeType Context triple: [Bluebell medical clinic, introducedInEpisodeType, pilot episode of Hart of Dixie]
-
A.
appearsInEpisodeType
Indicates that an entity is featured in, or associated with, a specific type or category of episode.
-
B.
introducedForSeries
Indicates that an entity was first created or brought into existence specifically for inclusion in a particular series.
-
C.
introducedInSerialType
chosen
Indicates that something first appeared or was initially presented within a particular type or category of serial work (such as a TV series, comic series, or other serialized medium).
-
D.
purchasedInEpisode
Indicates that an item or entity was bought during a specific episode or installment of a series or program.
-
E.
appearsInEpisodeCountType
Indicates the type or category used to quantify how many episodes an entity appears in.
- 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_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 1, 2026, 12:35 a.m.