Triple
T38117653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Quick Draw McGraw Show |
E951833
|
entity |
| Predicate | numberOfSegmentsPerEpisode |
P136210
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [The Quick Draw McGraw Show, numberOfSegmentsPerEpisode, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSegmentsPerEpisode Context triple: [The Quick Draw McGraw Show, numberOfSegmentsPerEpisode, 3]
-
A.
segmentCountPerEpisode
chosen
Indicates the number of distinct segments contained within a single episode.
-
B.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
C.
partOfEpisodeCount
Indicates that one entity specifies the number of episodes contained within another entity (such as a season, series, or collection).
-
D.
maximumNumberOfSegments
Indicates the greatest allowable or observed count of discrete segments into which something can be or is divided.
-
E.
numberOfScenes
Indicates the total count of distinct scenes associated with or contained within an 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.