Triple
T26613243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Beragon |
E667983
|
entity |
| Predicate | relationshipImpactOnMildredPierce |
P197586
|
FINISHED |
| Object | destructive |
—
|
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: destructive | Statement: [Monte Beragon, relationshipImpactOnMildredPierce, destructive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipImpactOnMildredPierce Context triple: [Monte Beragon, relationshipImpactOnMildredPierce, destructive]
-
A.
relationshipTypeWithMildredPierce
chosen
Indicates the specific nature or category of the relationship an entity has with Mildred Pierce.
-
B.
relationshipToWalterNeff
Indicates that one entity has a specified personal or relational connection to Walter Neff.
-
C.
relationshipToHollyGolightly
Indicates the nature or type of relationship an entity has with Holly Golightly.
-
D.
MaryAstorRole
Indicates that an entity represents a role or character portrayed by Mary Astor in a film, play, or other performance.
-
E.
relationshipToMurielPritchett
Indicates the specific nature of a person’s relationship or connection to Muriel Pritchett.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: April 27, 2026, 2:17 a.m.