Triple
T33294563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tova Traesnaes |
E852403
|
entity |
| Predicate | marriageStartWithErnestBorgnine |
P193003
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Tova Traesnaes, marriageStartWithErnestBorgnine, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithErnestBorgnine Context triple: [Tova Traesnaes, marriageStartWithErnestBorgnine, 1973]
-
A.
marriageStartWithRobReiner
Indicates the point in time when an entity begins a marital relationship with Rob Reiner.
-
B.
marriageStartWithBillyZane
Indicates the point in time when a marriage involving Billy Zane begins.
-
C.
marriageStartWithBenAffleck
Indicates the point in time when a marriage involving Ben Affleck begins.
-
D.
marriageStartWithRandeGerber
Indicates the point in time when a marriage with Rande Gerber begins.
-
E.
marriageStartWith Mark-Paul Gosselaar
Indicates the point in time when a marriage involving Mark-Paul Gosselaar begins.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: May 1, 2026, 1:33 a.m.