Triple
T21836175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lola Van Wagenen |
E539124
|
entity |
| Predicate | endTimeOfMarriageWith Robert Redford |
P145504
|
FINISHED |
| Object | 1985 |
—
|
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: 1985 | Statement: [Lola Van Wagenen, endTimeOfMarriageWith Robert Redford, 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfMarriageWith Robert Redford Context triple: [Lola Van Wagenen, endTimeOfMarriageWith Robert Redford, 1985]
-
A.
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).
-
B.
endTimeOfSpouseRelationshipWith Robert Kardashian
Indicates the time at which a marital or spousal relationship with Robert Kardashian came to an end.
-
C.
end time of marriage with Humphrey Bogart
Indicates the date and time at which a person’s marriage to Humphrey Bogart ended.
-
D.
endTimeOfMarriageWith Yul Brynner
Indicates the date or point in time when a marriage to Yul Brynner ended.
-
E.
endTimeOfMarriageWithRobinWilliams
Indicates the time at which a marriage involving Robin Williams came to an end.
- 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.