Triple
T30313553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | László Lukács |
E770992
|
entity |
| Predicate | spouseOfPersonWithParent |
P191355
|
FINISHED |
| Object | Sylvia Plath |
—
|
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: Sylvia Plath | Statement: [László Lukács, spouseOfPersonWithParent, Sylvia Plath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfPersonWithParent Context triple: [László Lukács, spouseOfPersonWithParent, Sylvia Plath]
-
A.
spouseOfSiblingOf
Indicates the person who is married to someone’s sibling.
-
B.
spouseOfDescendantOf
Indicates that one entity is the spouse of a person who is a descendant of another entity.
-
C.
spouseOfGrandchildOf
Indicates that one entity is the spouse (husband or wife) of the grandchild of another entity.
-
D.
spouseOfChildren
Indicates that one entity is the spouse (husband or wife) of the children of another entity.
-
E.
spouseRelative
Indicates that one person is related to another through the marriage of at least one of them (e.g., in-laws or relatives by marriage).
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 29, 2026, 7:51 p.m.