Triple
T308498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Dad! |
E6352
|
entity |
| Predicate | hasEpisodeRuntime |
P11339
|
FINISHED |
| Object | approximately 22 minutes |
—
|
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: approximately 22 minutes | Statement: [American Dad!, hasEpisodeRuntime, approximately 22 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEpisodeRuntime Context triple: [American Dad!, hasEpisodeRuntime, approximately 22 minutes]
-
A.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
B.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
C.
seriesLengthMinimum
Indicates that the length of a series must be at least a specified minimum value.
-
D.
lastAired
Indicates the most recent time or date on which something (typically a broadcast or episode) was shown or transmitted.
-
E.
numberOfSeasons
Indicates the total count of seasons associated with a particular entity (such as a series, competition, or event).
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea3289608190a36c20a47761c6e4 |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93f38308190b4b480c951f1a1c3 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.