Triple
T10516829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Reed |
E248055
|
entity |
| Predicate | harborsFeelingToward |
P93812
|
FINISHED |
| Object | resentment toward Jane Eyre |
—
|
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: resentment toward Jane Eyre | Statement: [Mrs. Reed, harborsFeelingToward, resentment toward Jane Eyre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: harborsFeelingToward Context triple: [Mrs. Reed, harborsFeelingToward, resentment toward Jane Eyre]
-
A.
harborsResentmentToward
chosen
Indicates that one entity holds ongoing bitterness, anger, or ill will directed at another entity.
-
B.
feels
Indicates that an entity experiences or has a particular emotion, sensation, or internal state in relation to something.
-
C.
feltIn
Indicates that a sensation, emotion, or effect is experienced within a particular location, context, or entity.
-
D.
loveInterestPortrayedBy
Indicates that a character’s romantic interest is depicted or played by a particular actor or performer.
-
E.
emotionallyAttachedTo
Indicates that one entity has a strong emotional bond, affection, or dependence directed toward another entity.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cc58b081908ef15aa89b396db6 |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:28 p.m.