Triple
T35570016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Ballard |
E1027893
|
entity |
| Predicate | appearsInTelevisionEpisodeCount |
P193136
|
FINISHED |
| Object | multiple episodes of Breaker High |
—
|
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 Breaker High | Statement: [Captain Ballard, appearsInTelevisionEpisodeCount, multiple episodes of Breaker High]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInTelevisionEpisodeCount Context triple: [Captain Ballard, appearsInTelevisionEpisodeCount, multiple episodes of Breaker High]
-
A.
appearsInTelevisionSeasonCount
Indicates the number of television seasons in which the subject appears.
-
B.
appearsInEpisodeCountType
chosen
Indicates the type or category used to quantify how many episodes an entity appears in.
-
C.
notableEpisodeCount
Indicates the number of episodes in which the subject is notably featured or recognized.
-
D.
appearedInEpisodeOf
Indicates that one entity made an appearance in a specific episode belonging to a television or radio series associated with the other entity.
-
E.
hasEpisodeCountPerCharacter
Indicates the number of episodes associated with or featuring each individual character.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
Created at: May 3, 2026, 4:04 p.m.