Triple
T28437293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debrah Lee Charatan |
E715301
|
entity |
| Predicate | marriageToRobertDurst |
P176308
|
FINISHED |
| Object | took place in the early 2000s (approximate) |
—
|
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: took place in the early 2000s (approximate) | Statement: [Debrah Lee Charatan, marriageToRobertDurst, took place in the early 2000s (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToRobertDurst Context triple: [Debrah Lee Charatan, marriageToRobertDurst, took place in the early 2000s (approximate)]
-
A.
isFianceeOf
Indicates that one person is the engaged-to-be-married partner of another person.
-
B.
allegedSpouseOf
Indicates a relationship where one person is claimed or reported to be the spouse of another, but the marital status is not legally or definitively confirmed.
-
C.
marriageToDaisyFuentes
Indicates that the subject is married to Daisy Fuentes.
-
D.
resultedInMarriageTo
Indicates that one event, action, or circumstance led to or caused a marriage to occur between the related entities.
-
E.
endTimeOfMarriageWith Robert Redford
Indicates the specific date and time at which a marriage to Robert Redford legally or formally ended.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 28, 2026, 1:43 a.m.