Triple
T19052843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Porter |
E466307
|
entity |
| Predicate | relativeAgeDifferenceWithSpouseSamuelJohnson |
P125146
|
FINISHED |
| Object | older than Samuel Johnson |
—
|
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: older than Samuel Johnson | Statement: [Elizabeth Porter, relativeAgeDifferenceWithSpouseSamuelJohnson, older than Samuel Johnson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeAgeDifferenceWithSpouseSamuelJohnson Context triple: [Elizabeth Porter, relativeAgeDifferenceWithSpouseSamuelJohnson, older than Samuel Johnson]
-
A.
spouseAgeDifference
Indicates the age gap between two individuals who are spouses in a marital relationship.
-
B.
relativeAgeStatus
chosen
Indicates a comparative relationship specifying how the age of one entity relates to the age of another (e.g., older, younger, or same age).
-
C.
spouseEra
Indicates that two individuals are spouses during a specified historical period or era.
-
D.
relationshipToCatherine
Indicates the specific familial, social, or interpersonal connection that one entity has to the person named Catherine.
-
E.
spouseOfSince
Indicates that two individuals are spouses and specifies the date or time from which their marital relationship has been in effect.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc03dfa08190924a1b8073364fa1 |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.