Triple
T32810577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellen Tuck French |
E839136
|
entity |
| Predicate | hasSpouseFamily |
P5174
|
FINISHED |
| Object | Astor family |
—
|
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: Astor family | Statement: [Ellen Tuck French, hasSpouseFamily, Astor family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpouseFamily Context triple: [Ellen Tuck French, hasSpouseFamily, Astor family]
-
A.
hasSpousePositionInFamily
Indicates that a person’s spouse holds a specific role or position within the family structure.
-
B.
spouseFamily
chosen
Indicates a family relationship formed through marriage, such as between a person and their spouse’s relatives.
-
C.
spouseInFamily
Indicates that a person is a spouse (married partner) within the context of a specific family unit.
-
D.
spouseOfChildren
Indicates that one entity is the spouse (husband or wife) of the children of another entity.
-
E.
hasNumberOfChildrenWithSpouse
Indicates the count of children that an individual has specifically with a given 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: May 1, 2026, 1:15 a.m.