Triple
T19695965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beatrice O’Brien |
E472960
|
entity |
| Predicate | positionInSpouseList |
P4763
|
FINISHED |
| Object | first wife of Guglielmo Marconi |
—
|
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: first wife of Guglielmo Marconi | Statement: [Beatrice O’Brien, positionInSpouseList, first wife of Guglielmo Marconi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInSpouseList Context triple: [Beatrice O’Brien, positionInSpouseList, first wife of Guglielmo Marconi]
-
A.
hasSpousePositionInFamily
Indicates that a person’s spouse holds a specific role or position within the family structure.
-
B.
spouseInFamily
Indicates that a person is a spouse (married partner) within the context of a specific family unit.
-
C.
positionHeldBySpouse
chosen
Indicates that a particular position, role, or office is or was held by the spouse of a given person.
-
D.
positionOnMarriage
Indicates a person's stance, opinion, or policy regarding the institution or practice of marriage.
-
E.
spouseOfRole
Indicates that one role is the spouse (husband, wife, or equivalent marital partner) of another role.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642147c3c8190a4c788e4bb48fe11 |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.