Triple
T11218212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs. Costello |
E265491
|
entity |
| Predicate | perceptionOfDaisyMiller |
P97894
|
FINISHED |
| Object | disapproves of Daisy Miller |
—
|
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: disapproves of Daisy Miller | Statement: [Mrs. Costello, perceptionOfDaisyMiller, disapproves of Daisy Miller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceptionOfDaisyMiller Context triple: [Mrs. Costello, perceptionOfDaisyMiller, disapproves of Daisy Miller]
-
A.
perceivedByRubyWomenAs
Indicates that something is regarded, interpreted, or experienced in a particular way by women named Ruby.
-
B.
relationshipWithIsabelArcher
Indicates that there exists a specific kind of interpersonal relationship or connection between an entity and Isabel Archer.
-
C.
influencedPerceptionOf
Indicates that one entity has affected, shaped, or altered how another entity is perceived or understood.
-
D.
perceivedByRubyMenAs
Indicates that something is perceived or regarded in a particular way by men named Ruby.
-
E.
characterizesMirandaAs
Indicates how one entity portrays, describes, or defines the qualities or nature of Miranda.
- F. None of above. chosen
Provenance (4 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ea19e8819095d5d02c1f145534 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.