Triple
T18828572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Stamos |
E460460
|
entity |
| Predicate | marriageStartWithCaitlinMcHugh |
P133562
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [John Stamos, marriageStartWithCaitlinMcHugh, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithCaitlinMcHugh Context triple: [John Stamos, marriageStartWithCaitlinMcHugh, 2018]
-
A.
marriageStartWithMilaKunis
Indicates the point in time when a marriage involving Mila Kunis begins.
-
B.
marriageStartWithCatherineBrelet
Indicates the point in time when an entity begins a marital relationship with Catherine Brelet.
-
C.
marriageStartWithJennyMcCarthy
Indicates the point in time when an entity begins a marital relationship with Jenny McCarthy.
-
D.
marriageStartWithKayCannon
Indicates the point in time or event at which a marriage involving Kay Cannon begins.
-
E.
marriageStartWithEddieCibrian
Indicates the point in time when a marriage involving Eddie Cibrian 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99554848190933dd2810f5c810f |
completed | April 20, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:56 a.m.