Triple
T9060094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oprah’s Lifeclass |
E217098
|
entity |
| Predicate | notableGuestType |
P76328
|
FINISHED |
| Object | life coaches |
—
|
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: life coaches | Statement: [Oprah’s Lifeclass, notableGuestType, life coaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGuestType Context triple: [Oprah’s Lifeclass, notableGuestType, life coaches]
-
A.
notableSpeakerType
chosen
Indicates the type or category of a person who is recognized as a notable or distinguished speaker in a given context.
-
B.
notableParticipant
Indicates that an entity plays a significant or distinguished role as a participant in an event, activity, or context.
-
C.
notableOnAirPersonality
Indicates that an entity is recognized as a prominent or distinguished on-air media personality associated with another entity (such as a show, station, or network).
-
D.
notableInterviewee
Indicates that a person has been interviewed by another person or organization in a way considered significant or noteworthy.
-
E.
hasNotableGuest
Indicates that an entity has a guest who is distinguished, prominent, or otherwise noteworthy in some significant way.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7eca6d8c8190b1a11a60d6649f78 |
completed | April 1, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.