Triple
T10752105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurse Betty |
E253594
|
entity |
| Predicate | characterBelief |
P95786
|
FINISHED |
| Object | believes she is a nurse in a soap opera |
—
|
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: believes she is a nurse in a soap opera | Statement: [Nurse Betty, characterBelief, believes she is a nurse in a soap opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterBelief Context triple: [Nurse Betty, characterBelief, believes she is a nurse in a soap opera]
-
A.
revealsBeliefsOf
Indicates that one entity makes known, exposes, or discloses the beliefs held by another entity.
-
B.
originBelief
Indicates a belief or assumption about where something or someone comes from or originated.
-
C.
religionOfCharacterPortrayed
Indicates that a work portrays a character as adhering to or being associated with a particular religion.
-
D.
hasCentralBelief
Indicates that a particular belief is a core or foundational belief within an entity’s overall belief system.
-
E.
basedOnBelief
Indicates that one entity’s action, decision, or assertion is grounded in, motivated by, or derived from a particular belief held by that entity.
- F. None of above. chosen
Provenance (4 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:15 p.m.