Triple
T22238512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah |
E549654
|
entity |
| Predicate | initialAttitudeTowardJane |
P69313
|
FINISHED |
| Object | Suspicious |
—
|
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: Suspicious | Statement: [Hannah, initialAttitudeTowardJane, Suspicious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialAttitudeTowardJane Context triple: [Hannah, initialAttitudeTowardJane, Suspicious]
-
A.
initialAttitude
chosen
Indicates the starting stance, feeling, or disposition one entity holds toward another or toward a situation before any interaction or change occurs.
-
B.
laterAttitudeTowardCathyLinton
Indicates the attitude or feelings an entity comes to hold toward Cathy Linton at a subsequent point in time, as opposed to an earlier or initial attitude.
-
C.
relationshipToJaneBennet
Indicates the specific familial, social, or emotional connection that one entity has to Jane Bennet.
-
D.
attitudeTowardLeninaCrowne
Indicates the nature or quality of an entity’s feelings, opinions, or stance toward Lenina Crowne.
-
E.
relationshipStatusWithJane
Indicates the current nature or state of an entity’s personal relationship with Jane.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132123a048190ba5a90d7acb9aeb2 |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.