Triple
T18177247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty White’s Off Their Rockers |
E435194
|
entity |
| Predicate | hasHostSegments |
P116746
|
FINISHED |
| Object | Betty White comedy introductions and interstitials |
—
|
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: Betty White comedy introductions and interstitials | Statement: [Betty White’s Off Their Rockers, hasHostSegments, Betty White comedy introductions and interstitials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostSegments Context triple: [Betty White’s Off Their Rockers, hasHostSegments, Betty White comedy introductions and interstitials]
-
A.
hasLocalSegments
Indicates that an entity is composed of or associated with smaller, distinct segments that exist within a specific local context or region.
-
B.
hasMultipleSegments
Indicates that the referenced entity is composed of more than one distinct segment or section.
-
C.
hostSegmentsFeature
Indicates that a host includes or supports a particular segment-related feature or capability.
-
D.
hasSegmentWith
chosen
Indicates that an entity contains or includes at least one segment that satisfies a specified condition or matches a given segment.
-
E.
hasHostCharacter
Indicates that one entity serves as the host or primary character associated with another entity, such as a show, event, or media production.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5a72008190bd2e56205b995a87 |
completed | April 19, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.