Triple
T28803851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey Sherwood |
E727317
|
entity |
| Predicate | relationshipWithHeroine |
P192977
|
FINISHED |
| Object | evolving romantic relationship |
—
|
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: evolving romantic relationship | Statement: [Geoffrey Sherwood, relationshipWithHeroine, evolving romantic relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithHeroine Context triple: [Geoffrey Sherwood, relationshipWithHeroine, evolving romantic relationship]
-
A.
relationshipToLady
Indicates the specific type of social, familial, or personal connection that one entity has to a lady.
-
B.
hasProtagonistRelationship
Indicates that there exists a central, story-driving relationship involving the protagonist and another entity within a narrative.
-
C.
fictionalRelationship
Indicates a relationship that exists only within a fictional or imagined context between entities.
-
D.
hasFictionalRomanticInterest
chosen
Indicates that one entity is portrayed as having a romantic attraction or interest toward another entity within a fictional context.
-
E.
relationshipWithAntagonist
Indicates a relationship or connection that an entity has with an opposing or adversarial figure in a narrative or context.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a007ef69f5c8190be6fb89e918d30fa |
completed | May 10, 2026, 12:49 p.m. |
| PD | Predicate disambiguation | batch_6a007e4060448190ad7420b07c1fe219 |
completed | May 10, 2026, 12:46 p.m. |
Created at: April 28, 2026, 6:28 a.m.