Triple

T30762485
Position Surface form Disambiguated ID Type / Status
Subject Solar Fire E783270 entity
Predicate hasPart P35 FINISHED
Object Pluto the Dog
Pluto the Dog is a classic Disney cartoon character, Mickey Mouse’s loyal and playful pet dog known for his expressive, pantomime-style antics.
 E1931250 NE 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: Pluto the Dog | Statement: [Solar Fire, hasPart, Pluto the Dog]
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: Pluto the Dog
Triple: [Solar Fire, hasPart, Pluto the Dog]
Generated description
Pluto the Dog is a classic Disney cartoon character, Mickey Mouse’s loyal and playful pet dog known for his expressive, pantomime-style antics.

Provenance (5 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_69f224b047f48190b4f5efeb7ee97b37 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68fba02708190a1d0392453790fd8 completed May 2, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b09490a881908fea30b0878c7000 completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b2031d8c8190912ab58c5966ca52 completed June 10, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a28b2cac6ec819095d1b4f927d9f772 completed June 10, 2026, 12:41 a.m.
Created at: April 29, 2026, 8:39 p.m.