Triple
T31349122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodie Levy-Fraser |
E799537
|
entity |
| Predicate | marriageEndToMichaelLandon |
P187058
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [Dodie Levy-Fraser, marriageEndToMichaelLandon, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndToMichaelLandon Context triple: [Dodie Levy-Fraser, marriageEndToMichaelLandon, 1962]
-
A.
marriageStartToMichaelLandon
Indicates the time or event at which a marriage to Michael Landon begins.
-
B.
marriageEndToLorettaYoung
Indicates that a marriage ended with the person Loretta Young as one of the spouses.
-
C.
marriageEndToDeanMartin
Indicates that a marriage concluded (e.g., by divorce or death) with Dean Martin as one of the spouses.
-
D.
marriageEndToGlennFord
Indicates the termination or end of a marriage in which Glenn Ford is one of the spouses.
-
E.
marriageEndToRoyRogers
Indicates that a marriage relationship concluded or ended with Roy Rogers as one of the spouses.
- 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: April 29, 2026, 9:17 p.m.