Triple
T2915434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deandra "Sweet Dee" Reynolds |
E78593
|
entity |
| Predicate | insultedAs |
P43876
|
FINISHED |
| Object | bird |
—
|
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: bird | Statement: [Deandra "Sweet Dee" Reynolds, insultedAs, bird]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insultedAs Context triple: [Deandra "Sweet Dee" Reynolds, insultedAs, bird]
-
A.
offense
Indicates that one entity commits, causes, or is responsible for a violation, wrongdoing, or rule-breaking act against another entity or governing norms.
-
B.
defacedWith
Indicates that one entity has been damaged, marred, or vandalized using another entity as the means or material of defacement.
-
C.
apologizedFor
Indicates that one entity expressed regret or remorse to another entity specifically about a particular action, event, or wrongdoing.
-
D.
offenseNicknamed
Indicates that an offensive unit, team, or strategy is commonly referred to by a particular nickname.
-
E.
assaultedBy
Indicates that an entity has been attacked or subjected to violent physical aggression by another entity.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:50 p.m.