Triple
T3378713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob & Rose |
E71127
|
entity |
| Predicate | protagonistRelationshipType |
P27138
|
FINISHED |
| Object | romantic relationship between a gay man and a straight woman |
—
|
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: romantic relationship between a gay man and a straight woman | Statement: [Bob & Rose, protagonistRelationshipType, romantic relationship between a gay man and a straight woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistRelationshipType Context triple: [Bob & Rose, protagonistRelationshipType, romantic relationship between a gay man and a straight woman]
-
A.
hasProtagonistRelationship
chosen
Indicates that there exists a central, story-driving relationship involving the protagonist and another entity within a narrative.
-
B.
fictionalRelationship
Indicates a relationship that exists only within a fictional or imagined context between entities.
-
C.
relationshipToCharacter
Indicates the specific type of personal, social, or narrative connection that one entity has to a given character.
-
D.
portraysRelationship
Indicates that one entity depicts, represents, or illustrates a relationship between other entities.
-
E.
protagonistType
Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2eacb5c81908071a1dacc9a897a |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.