Triple
T32049841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Fowler |
E818457
|
entity |
| Predicate | relationshipToAldenPyle |
P206160
|
FINISHED |
| Object | rival in love |
—
|
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: rival in love | Statement: [Thomas Fowler, relationshipToAldenPyle, rival in love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToAldenPyle Context triple: [Thomas Fowler, relationshipToAldenPyle, rival in love]
-
A.
relationshipToWalterNeff
Indicates that one entity has a specified personal or relational connection to Walter Neff.
-
B.
relationshipTypeWithMildredPierce
Indicates the specific nature or category of the relationship an entity has with Mildred Pierce.
-
C.
relationshipWithAdelleDeWitt
Indicates a relationship or connection that an entity has with Adelle DeWitt.
-
D.
relationshipWithIsabelArcher
Indicates that there exists a specific kind of interpersonal relationship or connection between an entity and Isabel Archer.
-
E.
relationshipToIsabelArcher
Indicates the specific personal or social connection that an entity has to Isabel Archer.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:20 a.m.