Triple
T35178086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir James Chettam |
E1015767
|
entity |
| Predicate | loveIsUnrequited |
P122344
|
FINISHED |
| Object | Dorothea Brooke |
—
|
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: Dorothea Brooke | Statement: [Sir James Chettam, loveIsUnrequited, Dorothea Brooke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loveIsUnrequited Context triple: [Sir James Chettam, loveIsUnrequited, Dorothea Brooke]
-
A.
loveInterest
Indicates that one entity is the romantic object of affection or attraction for another entity.
-
B.
romanticallyObsessedWith
Indicates a strong, often overwhelming romantic fixation or preoccupation that one entity has toward another.
-
C.
loveInterestPortrayedBy
Indicates that a character’s romantic interest is depicted or played by a particular actor or performer.
-
D.
romanticFeeling
Indicates that one entity experiences romantic attraction or affection toward another entity.
-
E.
loveInterestType
chosen
Indicates the specific kind or category of romantic or affectionate relationship that exists between the related entities.
- 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78d7802b08190bec1695d4bb2d158 |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.