Triple
T16133353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefano DiMera |
E391457
|
entity |
| Predicate | hasObsession |
P49999
|
FINISHED |
| Object | controlling Salem |
—
|
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: controlling Salem | Statement: [Stefano DiMera, hasObsession, controlling Salem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObsession Context triple: [Stefano DiMera, hasObsession, controlling Salem]
-
A.
obsessionWith
chosen
Indicates an intense, persistent, and often overwhelming preoccupation or fixation that one entity has toward another entity or object.
-
B.
hasRepressedDesireFor
Indicates that one entity harbors a hidden or unacknowledged longing or attraction toward another entity.
-
C.
hasHabit
Indicates that an entity regularly performs, practices, or exhibits a particular behavior or routine.
-
D.
hasSuperstition
Indicates that one entity holds or practices a particular superstition related to another entity or concept.
-
E.
hasObservationTarget
Indicates that an observation is directed toward or focused on a particular target entity.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a02e0048190b4e2c6ff434c2d7a |
completed | April 17, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.