Triple
T17213812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Episode 4: The Deep South |
E417800
|
entity |
| Predicate | seriesEpisodeTitle |
P47963
|
FINISHED |
| Object | Episode 4: The Deep South |
—
|
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: Episode 4: The Deep South | Statement: [Episode 4: The Deep South, seriesEpisodeTitle, Episode 4: The Deep South]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesEpisodeTitle Context triple: [Episode 4: The Deep South, seriesEpisodeTitle, Episode 4: The Deep South]
-
A.
episodeTitle
chosen
Indicates that a given title string is the name of a specific episode within a series or program.
-
B.
seriesTitleElement
Indicates that the value represents a component or segment of the title of a series to which a resource belongs.
-
C.
pilotEpisodeTitle
Indicates the title of the first (pilot) episode associated with a series or show.
-
D.
seriesTitleOfRole
Indicates that a given title is the name of the series associated with a particular role.
-
E.
seasonOfTitle
Indicates that one entity is a specific season or installment within the series or title represented by the other entity.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc795d08190b90801a4f8b23afe |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.