Triple
T3989097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Caldwell |
E86942
|
entity |
| Predicate | appearsInEpisodeCount |
P45771
|
FINISHED |
| Object | multiple episodes of Dexter: New Blood |
—
|
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: multiple episodes of Dexter: New Blood | Statement: [Kurt Caldwell, appearsInEpisodeCount, multiple episodes of Dexter: New Blood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInEpisodeCount Context triple: [Kurt Caldwell, appearsInEpisodeCount, multiple episodes of Dexter: New Blood]
-
A.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
-
B.
notableEpisodeCount
chosen
Indicates the number of episodes in which the subject is notably featured or recognized.
-
C.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
-
D.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
E.
playedInSeason
Indicates that an entity (such as a player or participant) took part in or was active during a specific season.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef8f692008190bf4d637ffc3d3eaa |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.