Triple
T37805390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catch a Ride |
E942485
|
entity |
| Predicate | hasEpisodeInSeriesPosition |
P13421
|
FINISHED |
| Object | third |
—
|
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: third | Statement: [Catch a Ride, hasEpisodeInSeriesPosition, third]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEpisodeInSeriesPosition Context triple: [Catch a Ride, hasEpisodeInSeriesPosition, third]
-
A.
hasPartOfSeriesPosition
Indicates that an entity occupies a specific position or order within a larger series or sequence.
-
B.
episodeNumberInSeries
chosen
Indicates the specific sequential position an episode occupies within its overall series.
-
C.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
D.
isKeyEpisodeIn
Indicates that an episode plays a crucial or defining role within a larger narrative, season, or series.
-
E.
episodeNumberInSeason
Indicates the specific sequential position an episode holds within a particular season of a series.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.