Triple
T35623116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pete Puma |
E1029371
|
entity |
| Predicate | oftenOutsmartedBy |
P103396
|
FINISHED |
| Object | Bugs Bunny |
—
|
NE NERFINISHED |
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: Bugs Bunny | Statement: [Pete Puma, oftenOutsmartedBy, Bugs Bunny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenOutsmartedBy Context triple: [Pete Puma, oftenOutsmartedBy, Bugs Bunny]
-
A.
oftenOutsmarts
chosen
Indicates that one entity frequently surpasses or outwits another in intelligence, strategy, or problem-solving.
-
B.
sometimesOutmatchedBy
Indicates that one entity is occasionally surpassed or defeated by another in ability, performance, or competition.
-
C.
tricked
Indicates that one entity intentionally deceived another into believing something false or acting under a false impression.
-
D.
blindedBy
Indicates that one entity causes another to lose the ability to see or perceive clearly, either literally or metaphorically.
-
E.
oftenDeceives
Indicates that one entity frequently engages in deceptive behavior toward another entity.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 3, 2026, 4:05 p.m.