Triple
T34942726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margene Heffman |
E1007768
|
entity |
| Predicate | ageRelativeToCoWives |
P110675
|
FINISHED |
| Object | youngest wife |
—
|
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: youngest wife | Statement: [Margene Heffman, ageRelativeToCoWives, youngest wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRelativeToCoWives Context triple: [Margene Heffman, ageRelativeToCoWives, youngest wife]
-
A.
ageRelativeToOtherWives
chosen
Indicates how a wife’s age compares to the ages of the other wives in the same relationship or group.
-
B.
spouseAgeDifference
Indicates the age gap between two individuals who are spouses in a marital relationship.
-
C.
coWifeOf
Indicates that two women are married to the same spouse at the same time, making them co-wives in a polygamous marriage.
-
D.
ageAtBirthOfChildren
Indicates the age a parent was at the time each of their children was born.
-
E.
spouseOfChildren
Indicates that one entity is the spouse (husband or wife) of the children of another entity.
- 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_69f76dc513fc819084a1ff52abbfa5bc |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.