Triple
T11954469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gretta James |
E284514
|
entity |
| Predicate | relationshipStatusLater |
P82370
|
FINISHED |
| Object | separated from Dave Kohl |
—
|
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: separated from Dave Kohl | Statement: [Gretta James, relationshipStatusLater, separated from Dave Kohl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusLater Context triple: [Gretta James, relationshipStatusLater, separated from Dave Kohl]
-
A.
romanticRelationshipStatus
chosen
Indicates the nature or state of a romantic relationship between entities, such as whether they are dating, committed, separated, or otherwise romantically involved.
-
B.
relationshipOutcome
Indicates the result or consequence that arises from a particular relationship between two or more entities.
-
C.
companionshipStatus
Indicates the current state or condition of a relationship of companionship between two or more entities.
-
D.
relationshipManaged
Indicates that one entity oversees, directs, or maintains responsibility for the ongoing management of a relationship involving another entity.
-
E.
relationshipDurationWith
Indicates the length of time that a specified relationship between two entities has existed or is expected to last.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.