Triple
T21836174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lola Van Wagenen |
E539124
|
entity |
| Predicate | startTimeOfMarriageWith Robert Redford |
P145503
|
FINISHED |
| Object | 1958 |
—
|
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: 1958 | Statement: [Lola Van Wagenen, startTimeOfMarriageWith Robert Redford, 1958]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageWith Robert Redford Context triple: [Lola Van Wagenen, startTimeOfMarriageWith Robert Redford, 1958]
-
A.
marriageStartWithRobReiner
Indicates the point in time when an entity begins a marital relationship with Rob Reiner.
-
B.
startTimeOfMarriageWithRobinWilliams
Indicates the time at which a marriage involving Robin Williams began.
-
C.
endTimeOfMarriageWith Yul Brynner
Indicates the date or point in time when a marriage to Yul Brynner ended.
-
D.
marriageEndWithRobReiner
Indicates that a marriage concluded or was terminated in connection with Rob Reiner (i.e., that Rob Reiner was one of the spouses and the marriage ended).
-
E.
startTimeOfMarriageWith Yul Brynner
Indicates the specific time at which an individual’s marriage to Yul Brynner began.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a7c368819094e0c4548be30798 |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c187bc548190b4ca13150f6bae38 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 6:55 p.m.