Triple
T31974323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mister Ed |
E816407
|
entity |
| Predicate | animalPerformerForTitleCharacter |
P110374
|
FINISHED |
| Object | Bamboo Harvester |
—
|
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: Bamboo Harvester | Statement: [Mister Ed, animalPerformerForTitleCharacter, Bamboo Harvester]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalPerformerForTitleCharacter Context triple: [Mister Ed, animalPerformerForTitleCharacter, Bamboo Harvester]
-
A.
musicalCharacter
Indicates that one entity is a character or role that appears within the other entity, which is a musical work or production.
-
B.
hasAnimalActor
chosen
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
C.
performerCharacterName
Indicates that a performer is associated with or portrays a specific character name in a performance or work.
-
D.
animalProtagonist
Indicates that the main character or central figure in a narrative is an animal.
-
E.
petCharacter
Indicates that one entity is a pet belonging to, cared for by, or closely associated with another entity as its owner or companion.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b343b8948190993241cef00000dd |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:10 a.m.