Triple
T10009042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short People |
E198323
|
entity |
| Predicate | defenseByArtist |
P91535
|
FINISHED |
| Object | intended as satire of prejudice |
—
|
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: intended as satire of prejudice | Statement: [Short People, defenseByArtist, intended as satire of prejudice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defenseByArtist Context triple: [Short People, defenseByArtist, intended as satire of prejudice]
-
A.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
-
B.
defender
Indicates a relationship where one entity protects, guards, or supports another entity against threats, attacks, or criticism.
-
C.
defendedAs
Indicates that one entity is presented, argued, or justified as being equivalent to or serving the role of another entity in a defensive or protective context.
-
D.
defenseResult
Indicates the outcome or consequence of a defensive action or strategy in response to an attack or threat.
-
E.
defenseArgument
Indicates that an entity presents or supports a line of reasoning intended to defend or justify another entity, often in a legal or argumentative context.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd38659c8190830d223edbfd74ec |
completed | April 2, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69cd1da2cf9081908a6c0eb5247d0bc2 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd3584b2b4819096ff2625a7f5f1b5 |
completed | April 1, 2026, 3:11 p.m. |
Created at: March 30, 2026, 8:52 p.m.