Triple
T38522274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Lee Becht |
E922514
|
entity |
| Predicate | startTimeOfMarriageWith David Carradine |
P203401
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Donna Lee Becht, startTimeOfMarriageWith David Carradine, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageWith David Carradine Context triple: [Donna Lee Becht, startTimeOfMarriageWith David Carradine, 1960s]
-
A.
startTimeOfMarriageWith Robert Redford
Indicates the time at which a marriage involving Robert Redford began.
-
B.
endTimeOfMarriageWith Robert Redford
Indicates the specific date and time at which a marriage to Robert Redford legally or formally ended.
-
C.
startTimeOfMarriageWithPeterFonda
Indicates the point in time when a marriage involving Peter Fonda began.
-
D.
startTimeOfMarriageWith Yul Brynner
Indicates the specific time at which an individual’s marriage to Yul Brynner began.
-
E.
endTimeOfMarriageWith Yul Brynner
Indicates the date or point in time when a marriage to Yul Brynner 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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0174e8b5b481908bf0c6d3d5b0f3b6 |
completed | May 11, 2026, 6:19 a.m. |
| PD | Predicate disambiguation | batch_6a01748d65248190ac3d9adfa9d0b274 |
completed | May 11, 2026, 6:17 a.m. |
| PDg | Predicate description generation | batch_6a0174e7e4c88190b8d81c3d78294f94 |
completed | May 11, 2026, 6:19 a.m. |
Created at: May 3, 2026, 4:32 p.m.