Triple
T31540223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Strait |
E804723
|
entity |
| Predicate | marriageStartWithLynnCollins |
P188101
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Steven Strait, marriageStartWithLynnCollins, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithLynnCollins Context triple: [Steven Strait, marriageStartWithLynnCollins, 2007]
-
A.
marriageStartWithCaitlinMcHugh
Indicates the point in time when an individual begins a marital relationship with Caitlin McHugh.
-
B.
marriageStartWithHilaryBonner
Indicates the point in time when a person begins a marital relationship with Hilary Bonner.
-
C.
marriageStartWithKayCannon
Indicates the point in time or event at which a marriage involving Kay Cannon begins.
-
D.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
-
E.
marriageStartWithJillianFink
Indicates the event or state in which an entity begins a marriage specifically with Jillian Fink.
- 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fba28684208190921694f23e350c3b |
completed | May 6, 2026, 8:20 p.m. |
Created at: April 30, 2026, 10:05 p.m.