Triple
T26326838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Super Mario Bros. Super Show! |
E662274
|
entity |
| Predicate | liveActionSegmentStars |
P71399
|
FINISHED |
| Object | Lou Albano |
—
|
NE NERFINISHED |
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: Lou Albano | Statement: [The Super Mario Bros. Super Show!, liveActionSegmentStars, Lou Albano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveActionSegmentStars Context triple: [The Super Mario Bros. Super Show!, liveActionSegmentStars, Lou Albano]
-
A.
mainStars
Indicates that the subject is the primary or leading performer(s) featured in the object work or production.
-
B.
hasStars
Indicates that an entity possesses or is associated with one or more stars.
-
C.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
D.
starIs
chosen
Indicates that one entity is identified or classified as a star in relation to another entity or context.
-
E.
starsReunited
Indicates that previously separated or former co-stars have come together again, such as reappearing or collaborating in a shared context.
- 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f65f9f48190ba299fb3e435e67a |
completed | May 2, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:31 p.m.