Triple
T28768058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Ann Russell |
E726331
|
entity |
| Predicate | marriageStartWith Mark-Paul Gosselaar |
P178595
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Lisa Ann Russell, marriageStartWith Mark-Paul Gosselaar, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWith Mark-Paul Gosselaar Context triple: [Lisa Ann Russell, marriageStartWith Mark-Paul Gosselaar, 1996]
-
A.
marriageStartWithGavinRossdale
Indicates the point in time when a marriage begins in which Gavin Rossdale is one of the spouses.
-
B.
marriageStartWithBenAffleck
Indicates the point in time when a marriage involving Ben Affleck begins.
-
C.
marriageStartTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially began.
-
D.
marriageStartWithRobinGivens
Indicates the point in time when a marriage involving Robin Givens begins.
-
E.
marriageStartWithBlytheDanner
Indicates the point in time when a marriage involving Blythe Danner 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 28, 2026, 6:14 a.m.