Triple
T14234420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dolphin |
E352835
|
entity |
| Predicate | isPartOfDebate |
P49860
|
FINISHED |
| Object | ethics of using real people in poetry |
—
|
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: ethics of using real people in poetry | Statement: [The Dolphin, isPartOfDebate, ethics of using real people in poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfDebate Context triple: [The Dolphin, isPartOfDebate, ethics of using real people in poetry]
-
A.
partOfDebate
chosen
Indicates that one entity is a component, segment, or participant within a larger debate or argumentative exchange.
-
B.
hasDebate
Indicates that there is a formal discussion or argument between entities, typically presenting opposing viewpoints on a topic.
-
C.
canDebate
Indicates that one entity has the ability or permission to engage in a debate or argumentative discussion with another entity.
-
D.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
-
E.
debatedAs
Indicates that one entity is discussed or argued over in terms of being equivalent to, or serving in the role of, another entity within a debate or comparative argument.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.