Triple
T6867285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gertrude Blugerman |
E158437
|
entity |
| Predicate | positionInSpousesOfIsaacAsimov |
P74205
|
FINISHED |
| Object | first 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: first wife | Statement: [Gertrude Blugerman, positionInSpousesOfIsaacAsimov, first wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInSpousesOfIsaacAsimov Context triple: [Gertrude Blugerman, positionInSpousesOfIsaacAsimov, first wife]
-
A.
spouseOfNobelLaureateIn
Indicates that one entity is the spouse of a Nobel Prize laureate associated with a specified field, category, or year.
-
B.
hasAuthorSpouse
Indicates that the spouse of the subject entity is the author of the related work or entity.
-
C.
spouseNobelPrizeYear
Indicates the year in which the spouse of the referenced person received a Nobel Prize.
-
D.
spouseOfEldestSonOf
Indicates that one entity is the spouse (husband or wife) of the eldest son of another entity.
-
E.
spouseIsHalfSisterOf
Indicates that the person’s spouse is also their half-sister, sharing exactly one biological parent with them.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6da3b5510819093c5893ea92ac025 |
completed | March 27, 2026, 7:27 p.m. |
Created at: March 27, 2026, 2:21 p.m.