Triple
T33136976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madame de Warens |
E848032
|
entity |
| Predicate | ageDifferenceWithJeanJacquesRousseau |
P176133
|
FINISHED |
| Object | about 13 years older |
—
|
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: about 13 years older | Statement: [Madame de Warens, ageDifferenceWithJeanJacquesRousseau, about 13 years older]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageDifferenceWithJeanJacquesRousseau Context triple: [Madame de Warens, ageDifferenceWithJeanJacquesRousseau, about 13 years older]
-
A.
ageAtLeavingMonticello
Indicates the age a person was when they left Monticello.
-
B.
relativeAgeInference
Indicates an inferred ordering of ages between entities, specifying which one is relatively older or younger based on available information.
-
C.
timeBetweenIndependenceAndRevolution
Indicates the duration of time that elapsed between a country's independence and its subsequent revolution.
-
D.
ageDifferenceWithMuhammad
Indicates the age difference between a given person and Muhammad.
-
E.
relativeAgeStatus
Indicates a comparative relationship specifying how the age of one entity relates to the age of another (e.g., older, younger, or same age).
- 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: May 1, 2026, 1:27 a.m.