Triple
T37195532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorraine |
E921578
|
entity |
| Predicate | hasRecurringGuestType |
—
|
GENERATED |
| Object | celebrities |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecurringGuestType Context triple: [Lorraine, hasRecurringGuestType, celebrities]
-
A.
hasRecurringRole
Indicates that an entity repeatedly appears or participates in a role within an ongoing or multiple related contexts over time.
-
B.
hasRecurringSpecial
Indicates that an entity regularly offers or features a special deal, item, or promotion that recurs over time.
-
C.
hasRecurringActor
Indicates that an actor appears repeatedly across multiple instances or episodes within a work or series.
-
D.
hasGuestCharacter
Indicates that an entity features another entity in a temporary or special guest role, rather than as a regular or primary participant.
-
E.
hasVisitorType
chosen
Indicates the type or category of visitor associated with an entity (e.g., guest, customer, tourist, patient).
- F. None of above.
Provenance (1 batch)
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_69f76ea313a08190a54404cd1e47da90 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.