Triple
T25974925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Fonda |
E645909
|
entity |
| Predicate | thirdSpouse |
P46834
|
FINISHED |
| Object | Margaret DeVogelaere |
—
|
NE NERFINISHED |
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: Margaret DeVogelaere | Statement: [Peter Fonda, thirdSpouse, Margaret DeVogelaere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdSpouse Context triple: [Peter Fonda, thirdSpouse, Margaret DeVogelaere]
-
A.
thirdHusband
chosen
Indicates that one person is the third man to be married to another person.
-
B.
subsequentSpouse
Indicates that one person is a later spouse of another, following a previous marriage involving at least one of them.
-
C.
spouse
Indicates that two entities are married to each other in a legally or socially recognized partnership.
-
D.
exSpouse
Indicates that two people were formerly married to each other but are no longer spouses.
-
E.
throughSpouse
Indicates a relationship or connection that exists indirectly between two entities by way of one entity’s spouse.
- F. None of above.
Provenance (3 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 22, 2026, 8:51 a.m.