Triple
T10157289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Favorite Things |
E233804
|
entity |
| Predicate | associatedWithShowHostRole |
P39913
|
FINISHED |
| Object | Oprah as gift-giver |
—
|
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: Oprah as gift-giver | Statement: [Favorite Things, associatedWithShowHostRole, Oprah as gift-giver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithShowHostRole Context triple: [Favorite Things, associatedWithShowHostRole, Oprah as gift-giver]
-
A.
associatedWithStationRole
Indicates that an entity has a connection or involvement with a specific role or function at a station.
-
B.
associatedWithCharacterRole
Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
-
C.
associatedShowType
Indicates a relationship where one entity is linked to the type or category of show with which it is associated.
-
D.
roleOfHost
chosen
Indicates that an entity serves as the host in relation to another entity, event, or interaction.
-
E.
coHostOf
Indicates a relationship where two or more entities jointly host the same event, program, or activity together.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec3c47dc81909679903e6024eb49 |
completed | April 2, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:09 p.m.