Triple
T29548945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Goodchild |
E749705
|
entity |
| Predicate | relationshipTypeWith Æon Flux |
P202575
|
FINISHED |
| Object | romantic tension |
—
|
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 tension | Statement: [Trevor Goodchild, relationshipTypeWith Æon Flux, romantic tension]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Æon Flux Context triple: [Trevor Goodchild, relationshipTypeWith Æon Flux, romantic tension]
-
A.
relationshipTypeWithTiamat
Indicates the specific nature or category of relationship an entity has with Tiamat.
-
B.
hasFictionalRelationshipWith
chosen
Indicates that there exists a fictional or imagined relationship between two entities, such as characters in a story or hypothetical scenarios.
-
C.
hasRelationshipTypeWith Anastasia Steele
Indicates that an entity has a specific type of relationship or relational role with Anastasia Steele.
-
D.
inceptionRelation
Indicates the originating event, source, or initial cause from which another entity, process, or state begins or comes into existence.
-
E.
unitRelation
Indicates a relationship between units, such as how one unit is associated with, derived from, or converted to another.
- 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_69f0bd48691081908cecad39bac591e0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a0164b052608190adc93240dad50a06 |
completed | May 11, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_6a01637fd3ac8190970eb09650d1e659 |
completed | May 11, 2026, 5:05 a.m. |
Created at: April 28, 2026, 5:10 p.m.