Triple
T21722963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Lachey |
E536206
|
entity |
| Predicate | marriageStartWithVanessaLachey |
P145095
|
FINISHED |
| Object | 2011-07-15 |
—
|
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: 2011-07-15 | Statement: [Nick Lachey, marriageStartWithVanessaLachey, 2011-07-15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithVanessaLachey Context triple: [Nick Lachey, marriageStartWithVanessaLachey, 2011-07-15]
-
A.
marriageStartWithGavinRossdale
Indicates the point in time when a marriage begins in which Gavin Rossdale is one of the spouses.
-
B.
marriageStartWithRochelleParker
Indicates the point in time when a marriage involving Rochelle Parker begins.
-
C.
marriageStartWithJennyMcCarthy
Indicates the point in time when an entity begins a marital relationship with Jenny McCarthy.
-
D.
marriageStartWithMilaKunis
Indicates the point in time when a marriage involving Mila Kunis 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:48 p.m.