Triple

T31974323

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mister Ed	`E816407`	entity
Predicate	animalPerformerForTitleCharacter	`P110374`	FINISHED
Object	Bamboo Harvester Bamboo Harvester was the palomino horse best known for portraying the talking title character in the classic American television sitcom "Mister Ed."	`E1986946`	NE FINISHED

How this triple was built (3 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]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Bamboo Harvester
Triple: [Mister Ed, animalPerformerForTitleCharacter, Bamboo Harvester]

Generated description

Bamboo Harvester was the palomino horse best known for portraying the talking title character in the classic American television sitcom "Mister Ed."

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 (6 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.
NED1	Entity disambiguation (via context triple)	`batch_6a2eb14af92081908816ee3b09003bf3`	completed	June 14, 2026, 1:48 p.m.
NEDg	Description generation	`batch_6a2eb286d73881909e7a2352a3696226`	completed	June 14, 2026, 1:54 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2eb43a83e48190821839ed8957d14c`	completed	June 14, 2026, 2:01 p.m.
PD	Predicate disambiguation	`batch_69f6b151ad008190836c1bcdec503ce2`	completed	May 3, 2026, 2:22 a.m.

Created at: May 1, 2026, 12:10 a.m.