Triple
T36388791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bredda Nancy |
E896270
|
entity |
| Predicate | outsmarts |
P103396
|
FINISHED |
| Object | other characters |
—
|
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: other characters | Statement: [Bredda Nancy, outsmarts, other characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outsmarts Context triple: [Bredda Nancy, outsmarts, other characters]
-
A.
oftenOutsmarts
chosen
Indicates that one entity frequently surpasses or outwits another in intelligence, strategy, or problem-solving.
-
B.
outs
Indicates that one entity defeats, surpasses, or performs better than another in a competitive or comparative context.
-
C.
tacticOf
Indicates that one entity is a tactic, method, or strategy employed or used by another entity.
-
D.
over
Indicates that one entity is positioned higher than and extending across or above another entity, often covering or spanning it.
-
E.
overcomes
Indicates that one entity successfully prevails against, defeats, or gains control over another entity or opposing force.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.