Triple
T14400315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Michael J. Fox Show |
E357051
|
entity |
| Predicate | numberOfEpisodesAiredOnNBC |
P2593
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [The Michael J. Fox Show, numberOfEpisodesAiredOnNBC, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEpisodesAiredOnNBC Context triple: [The Michael J. Fox Show, numberOfEpisodesAiredOnNBC, 15]
-
A.
firstAiredOnNBC
Indicates that the subject (e.g., a show or episode) had its initial broadcast on the NBC television network.
-
B.
numberOfEpisodes
chosen
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
C.
notableEpisodeCount
Indicates the number of episodes in which the subject is notably featured or recognized.
-
D.
numberOfSeasons
Indicates the total count of seasons associated with a particular entity (such as a series, competition, or event).
-
E.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de908500048190bb6a20fe318d5c62 |
completed | April 14, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:17 a.m.