Triple
T33879000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Reed |
E868432
|
entity |
| Predicate | treatmentOfJane |
P146860
|
FINISHED |
| Object | unkind |
—
|
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: unkind | Statement: [Eliza Reed, treatmentOfJane, unkind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatmentOfJane Context triple: [Eliza Reed, treatmentOfJane, unkind]
-
A.
laterAttitudeTowardJane
chosen
Indicates a subject’s attitude or feelings toward Jane at a later point in time relative to some earlier reference time.
-
B.
relationshipStatusWithJane
Indicates the current nature or state of an entity’s personal relationship with Jane.
-
C.
treatmentOf
Indicates a relationship where one entity administers, provides, or is responsible for a therapeutic intervention directed toward another entity (typically a patient or condition).
-
D.
subjectTreatment
Indicates that a subject is receiving, undergoing, or being administered a particular treatment or therapeutic intervention.
-
E.
treatmentOfCinderella
Indicates how one party behaves toward or deals with Cinderella.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 1:48 a.m.