Triple
T35143662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gayatri Devi |
E1014762
|
entity |
| Predicate | spouseTermAsPrimeMinisterEnd |
P196603
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [Gayatri Devi, spouseTermAsPrimeMinisterEnd, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseTermAsPrimeMinisterEnd Context triple: [Gayatri Devi, spouseTermAsPrimeMinisterEnd, 1980]
-
A.
spouseTermAsPrimeMinisterStart
Indicates the date or time when a person's spouse began serving as prime minister.
-
B.
endTimeAsSpouseOfPrimeMinisterOfAustralia
Indicates the time at which an individual’s tenure as the spouse of the Prime Minister of Australia comes to an end.
-
C.
marriedToPrimeMinisterDuring
Indicates that one person was married to the individual serving as prime minister during a specified time period.
-
D.
spouseOfficeEndTime
Indicates the time at which a spouse’s term or tenure in a particular office or position ends.
-
E.
primeMinisterTermEnd
Indicates the date or point in time when a person's tenure as prime minister comes to an end.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
| PDg | Predicate description generation | batch_69fe5d580d7c819097cb18d438b01d08 |
completed | May 8, 2026, 10:02 p.m. |
Created at: May 3, 2026, 4:02 p.m.