Triple
T19106301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristina Tholstrup |
E467663
|
entity |
| Predicate | marriageStartWithRogerMoore |
P134399
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Kristina Tholstrup, marriageStartWithRogerMoore, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithRogerMoore Context triple: [Kristina Tholstrup, marriageStartWithRogerMoore, 2002]
-
A.
marriageStartWithElizabethTaylor
Indicates the point in time when a marriage involving Elizabeth Taylor began.
-
B.
marriageStartWithLionelRichie
Indicates the point in time when a marriage involving Lionel Richie begins.
-
C.
marriageStartWithRobertWolders
Indicates the point in time when a marriage involving Robert Wolders began.
-
D.
marriageStartWithLaurenceOlivier
Indicates the point in time when a marriage involving Laurence Olivier began.
-
E.
marriageStartWithRobReiner
Indicates the point in time when an entity begins a marital relationship with Rob Reiner.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e37159688190a6896d9730214ba8 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.