Triple

T6022888
Position Surface form Disambiguated ID Type / Status
Subject Gus Grissom E134105 entity
Predicate nickname P55 FINISHED
Object Gus
Gus is the nickname of Virgil "Gus" Grissom, one of NASA's original Mercury Seven astronauts and a pioneering American spacefarer.
 E565282 NE FINISHED

How this triple was built (4 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: Gus | Statement: [Gus Grissom, nickname, Gus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gus
Context triple: [Gus Grissom, nickname, Gus]
  • A. Gus
    Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
  • B. Gus
    Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
  • C. Gus
    Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
  • D. Gus
    Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
  • E. Gussie
    Gussie is a fictional character best known as the hapless young protagonist in P. G. Wodehouse’s comic story “Extricating Young Gussie.”
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Gus
Triple: [Gus Grissom, nickname, Gus]
Generated description
Gus is the nickname of Virgil "Gus" Grissom, one of NASA's original Mercury Seven astronauts and a pioneering American spacefarer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gus
Target entity description: Gus is the nickname of Virgil "Gus" Grissom, one of NASA's original Mercury Seven astronauts and a pioneering American spacefarer.
  • A. Gus
    Gus is the lovable, chubby mouse in Disney's 1950 animated film "Cinderella," known for his comic relief and loyal friendship to Cinderella.
  • B. Gus
    Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
  • C. Gus
    Gus is the given name of American filmmaker Gus Van Sant, known for directing independent and mainstream films such as "Good Will Hunting" and "Milk."
  • D. Gus
    Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
  • E. Gussie
    Gussie is a fictional character best known as the hapless young protagonist in P. G. Wodehouse’s comic story “Extricating Young Gussie.”
  • F. None of above. chosen

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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fbd7978819085d683578bc62aa3 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1136da26081909b753fa8a2a91084 completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c1174ff40c8190b19011a46eadea70 completed March 23, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_69c117a46d3881908267431287814acd completed March 23, 2026, 10:36 a.m.
Created at: March 22, 2026, 4:07 p.m.