Triple
T6867284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gertrude Blugerman |
E158437
|
entity |
| Predicate | marriageDurationWithIsaacAsimov |
P57236
|
FINISHED |
| Object | 31 years |
—
|
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: 31 years | Statement: [Gertrude Blugerman, marriageDurationWithIsaacAsimov, 31 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageDurationWithIsaacAsimov Context triple: [Gertrude Blugerman, marriageDurationWithIsaacAsimov, 31 years]
-
A.
marriageDuration
chosen
Indicates the length of time that a marriage relationship has existed between two spouses.
-
B.
marriageDurationWithHenryFord
Indicates the length of time an entity was married to Henry Ford.
-
C.
marriageDurationWithEllaFitzgerald
Indicates the length of time an entity was married to Ella Fitzgerald.
-
D.
endTimeOfMarriageWithBuzzAldrin
Indicates the date and time at which a person’s marriage to Buzz Aldrin ended.
-
E.
spouseAgeDifference
Indicates the age gap between two individuals who are spouses in a marital relationship.
- 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_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. |
Created at: March 27, 2026, 2:21 p.m.