Triple
T4505791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samurai Jack |
E101328
|
entity |
| Predicate | seasonCountDetail |
P57054
|
FINISHED |
| Object | Four seasons aired from 2001 to 2004 on Cartoon Network. |
—
|
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: Four seasons aired from 2001 to 2004 on Cartoon Network. | Statement: [Samurai Jack, seasonCountDetail, Four seasons aired from 2001 to 2004 on Cartoon Network.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonCountDetail Context triple: [Samurai Jack, seasonCountDetail, Four seasons aired from 2001 to 2004 on Cartoon Network.]
-
A.
seasonNumber
Indicates the ordinal position of a season within a series or sequence of seasons.
-
B.
seasonNumberInYear
Indicates the specific ordinal position of a season within a given year.
-
C.
seasonSeriesPlayedPerYear
Indicates the number of series played in a season during a given year.
-
D.
seasonSequence
Indicates the ordered succession relationship between seasons, specifying which season follows or precedes another in a temporal sequence.
-
E.
seasonNumberInConferenceHistory
Indicates the ordinal number of a particular season within the overall chronological history of a conference.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56ff78748190bb667e70c69dc817 |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:01 p.m.