Triple
T14920829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravens Cheerleaders |
E371503
|
entity |
| Predicate | mediaAppearances |
P57975
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [Ravens Cheerleaders, mediaAppearances, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaAppearances Context triple: [Ravens Cheerleaders, mediaAppearances, television]
-
A.
tvShowAppearance
chosen
Indicates that an entity appears or participates in a particular television show.
-
B.
mediaExposure
Indicates the extent to which an entity is subjected to or receives attention from media channels such as television, radio, print, or online platforms.
-
C.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
D.
mediaAssociation
Indicates a relationship where one media item is linked, connected, or otherwise associated with another entity or media resource.
-
E.
appearsFor
Indicates that one entity is presented, shown, or made visible on behalf of, or in representation of, another entity.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded63121e48190b54eb2546acc3c93 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:33 a.m.