Triple
T24077247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thalia Menninger |
E596398
|
entity |
| Predicate | characteristicRelationship |
P89493
|
FINISHED |
| Object | on-again, off-again romance with Dobie Gillis |
—
|
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: on-again, off-again romance with Dobie Gillis | Statement: [Thalia Menninger, characteristicRelationship, on-again, off-again romance with Dobie Gillis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characteristicRelationship Context triple: [Thalia Menninger, characteristicRelationship, on-again, off-again romance with Dobie Gillis]
-
A.
relationshipCharacterizedAs
chosen
Indicates that one relationship is described, defined, or typified in terms of another specified characteristic or relational type.
-
B.
relationshipToCharacter
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
C.
trackRelationship
Indicates a connection in which one entity monitors, follows, or keeps a record of another entity’s state, behavior, or changes over time.
-
D.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
E.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
- 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db1e959c81909f4365b5d7f934d9 |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:42 p.m.