Triple
T9205344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grant Withers |
E220960
|
entity |
| Predicate | marriageEndToLorettaYoung |
P86977
|
FINISHED |
| Object | 1931 |
—
|
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: 1931 | Statement: [Grant Withers, marriageEndToLorettaYoung, 1931]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndToLorettaYoung Context triple: [Grant Withers, marriageEndToLorettaYoung, 1931]
-
A.
marriageEndWithElizabethTaylor
Indicates that a marriage concluded with Elizabeth Taylor as one of the spouses.
-
B.
marriageEndToRoyRogers
Indicates that a marriage relationship concluded or ended with Roy Rogers as one of the spouses.
-
C.
end time of marriage with Humphrey Bogart
Indicates the date and time at which a person’s marriage to Humphrey Bogart ended.
-
D.
endTime (marriage to Cloris Leachman)
Indicates the date and time when the marriage to Cloris Leachman ended.
-
E.
endTimeOfMarriageWithCaryGrant
Indicates the date and time at which a person’s marriage to Cary Grant ended.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd947a0a08190966f22a6207c9120 |
completed | April 1, 2026, 8:37 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6745c17881908df72443e0800068 |
completed | April 1, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:26 p.m.