Triple
T3269910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucile Ascolese |
E68618
|
entity |
| Predicate | marriageStartToRoyRogers |
P46998
|
FINISHED |
| Object | 1933 |
—
|
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: 1933 | Statement: [Lucile Ascolese, marriageStartToRoyRogers, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartToRoyRogers Context triple: [Lucile Ascolese, marriageStartToRoyRogers, 1933]
-
A.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
-
B.
marriageStartWithRobinGivens
Indicates the point in time when a marriage involving Robin Givens begins.
-
C.
marriageStartWithElizabethTaylor
Indicates the point in time when a marriage involving Elizabeth Taylor began.
-
D.
startTimeOfSpouseRelationshipWithDouglasMacArthur
Indicates the date and time at which an individual’s spousal relationship with Douglas MacArthur began.
-
E.
marriageDate
Indicates the specific date on which two entities entered into a marital relationship.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff349148190beae8c0994b7ad83 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.