Triple
T13695418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bert Girigorie |
E328371
|
entity |
| Predicate | marriageEndTime |
P92796
|
FINISHED |
| Object | early 1990s |
—
|
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: early 1990s | Statement: [Bert Girigorie, marriageEndTime, early 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndTime Context triple: [Bert Girigorie, marriageEndTime, early 1990s]
-
A.
marriageDate
Indicates the specific date on which two entities entered into a marital relationship.
-
B.
endTime (marriage)
chosen
Indicates the point in time at which the marriage relationship is considered to have ended.
-
C.
marriageEndedBy
Indicates that a marriage relationship between two entities has been terminated due to the action or decision of a specified party or event.
-
D.
marriageDuration
Indicates the length of time that a marriage relationship has existed between two spouses.
-
E.
hasMaritalStatusAtEnd
Indicates that an entity possesses a specific marital status at the end of a given period, event, or reference time.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8773f388190b2413b1e05fd5fd7 |
completed | April 12, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.