Triple
T34795401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Thomas and Lady Jane |
E1003062
|
entity |
| Predicate | hasLoverSocialClass |
P27958
|
FINISHED |
| Object | working class |
—
|
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: working class | Statement: [John Thomas and Lady Jane, hasLoverSocialClass, working class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoverSocialClass Context triple: [John Thomas and Lady Jane, hasLoverSocialClass, working class]
-
A.
hasLoverNationality
Indicates that the nationality of a person's lover is a specified country or nationality.
-
B.
associatedWithSocialClass
chosen
Indicates a relationship in which an entity is linked or connected to a particular social class or socioeconomic stratum.
-
C.
hasFianceeOfSonAsLover
Indicates that a person is in a romantic or sexual relationship with their son’s fiancée.
-
D.
spouseOrLover
Indicates a romantic partnership between two entities, whether formalized as a spouse or existing as a lover.
-
E.
socialClassAtMarriage
Indicates the social class or status an individual held at the time of their marriage.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: May 3, 2026, 3:59 p.m.