Triple
T25704509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Booby |
E644549
|
entity |
| Predicate | feelsDesireFor |
P137126
|
FINISHED |
| Object | Joseph Andrews |
—
|
NE NERFINISHED |
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: Joseph Andrews | Statement: [Lady Booby, feelsDesireFor, Joseph Andrews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feelsDesireFor Context triple: [Lady Booby, feelsDesireFor, Joseph Andrews]
-
A.
describesDesireFor
Indicates that one entity expresses or conveys a wish, longing, or aspiration directed toward another entity or outcome.
-
B.
hasRepressedDesireFor
Indicates that one entity harbors a hidden or unacknowledged longing or attraction toward another entity.
-
C.
loveInterestPortrayedBy
Indicates that a character’s romantic interest is depicted or played by a particular actor or performer.
-
D.
loveInterest
Indicates that one entity is the romantic object of affection or attraction for another entity.
-
E.
victimOfDesire
chosen
Indicates that one entity is the target or object of another entity’s desire.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc0f911c819083ea7748550df1d0 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 9:01 p.m.