Triple
T875316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matchmakers |
E18904
|
entity |
| Predicate | hasEpisodeStructure |
P20979
|
FINISHED |
| Object | episodic |
—
|
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: episodic | Statement: [Matchmakers, hasEpisodeStructure, episodic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEpisodeStructure Context triple: [Matchmakers, hasEpisodeStructure, episodic]
-
A.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
B.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
C.
hasEpisodeRuntime
Indicates the duration of time that each individual episode of a series or show runs.
-
D.
includesSpecialEpisodes
Indicates that the subject collection or series contains one or more special, non-regular episodes.
-
E.
episodeNumberInSeries
Indicates the specific sequential position an episode occupies within its overall series.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acae12948190923d31966c26a130 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8d47c081909b02a53e305ccf7a |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab9634948190b25ea1b2e34df87d |
completed | March 1, 2026, 9:11 p.m. |
Created at: March 1, 2026, 7:39 p.m.