Triple
T7072515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donnie Wahlberg |
E164732
|
entity |
| Predicate | marriageStartWithJennyMcCarthy |
P74836
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Donnie Wahlberg, marriageStartWithJennyMcCarthy, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithJennyMcCarthy Context triple: [Donnie Wahlberg, marriageStartWithJennyMcCarthy, 2014]
-
A.
marriageStartWithMilaKunis
Indicates the point in time when a marriage involving Mila Kunis begins.
-
B.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
-
C.
marriageStartTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially began.
-
D.
marriageStartToJohnKerry
Indicates the point in time when an entity began being married to John Kerry.
-
E.
marriageStartWithKayCannon
Indicates the point in time or event at which a marriage involving Kay Cannon 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4cb76548190bd98876f8ba925b7 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bfcb948190a5ada74fb8c054cb |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:39 p.m.