Triple
T5646378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raisa Gorbacheva |
E124393
|
entity |
| Predicate | yearsActiveInPublicLife |
P34676
|
FINISHED |
| Object | 1985-1991 |
—
|
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: 1985-1991 | Statement: [Raisa Gorbacheva, yearsActiveInPublicLife, 1985-1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveInPublicLife Context triple: [Raisa Gorbacheva, yearsActiveInPublicLife, 1985-1991]
-
A.
yearsActiveInPolitics
Indicates the span of time during which an entity has been actively involved in political roles, activities, or office.
-
B.
historicallyActiveIn
Indicates that an entity was active or engaged in significant activities within a particular place or context during a past historical period.
-
C.
activeInYears
chosen
Indicates that an entity was active or operational during the specified years or year range.
-
D.
notableYearOfActivity
Indicates the specific year during which an entity was particularly active, prominent, or notable in its activities or impact.
-
E.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022aa650c819088d9046b82fab631 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.