Triple
T24022647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Match |
E594866
|
entity |
| Predicate | numberOfEpisodesAiredInUS |
P2593
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Miss Match, numberOfEpisodesAiredInUS, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEpisodesAiredInUS Context triple: [Miss Match, numberOfEpisodesAiredInUS, 11]
-
A.
originallyAiredIn
Indicates the country, region, or network where a show, episode, or broadcast was first originally aired.
-
B.
numberOfEpisodes
chosen
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
C.
networkOfOriginalAiring
Indicates the television network on which a program or episode was originally broadcast.
-
D.
originallyPlannedNumberOfEpisodes
Indicates the total number of episodes that were initially intended or planned for a series or program before any changes occurred.
-
E.
isAiredOn
Indicates that a broadcast or program is transmitted or shown on a particular channel, station, or platform.
- 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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d7667ff08190bfd14aa4eb776f21 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:52 p.m.