Triple

T9606683
Position Surface form Disambiguated ID Type / Status
Subject Dear Socks, Dear Buddy E231987 entity
Predicate inspiredBy P9 FINISHED
Object Socks (cat)
Socks was the black-and-white pet cat of U.S. President Bill Clinton’s family, who became a popular and widely photographed “First Cat” during the 1990s.
 E810870 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: Socks (cat) | Statement: [Dear Socks, Dear Buddy, inspiredBy, Socks (cat)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Socks (cat)
Context triple: [Dear Socks, Dear Buddy, inspiredBy, Socks (cat)]
  • A. Mittens
    Mittens is one of the kitten protagonists in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
  • B. Catz
    Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
  • C. Catz
    Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
  • D. Catz
    Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
  • E. Cats
    Cats is a long-running, award-winning musical composed by Andrew Lloyd Webber, based on T.S. Eliot’s "Old Possum’s Book of Practical Cats," renowned for its distinctive costumes, choreography, and songs like "Memory."
  • 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: Socks (cat)
Triple: [Dear Socks, Dear Buddy, inspiredBy, Socks (cat)]
Generated description
Socks was the black-and-white pet cat of U.S. President Bill Clinton’s family, who became a popular and widely photographed “First Cat” during the 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Socks (cat)
Target entity description: Socks was the black-and-white pet cat of U.S. President Bill Clinton’s family, who became a popular and widely photographed “First Cat” during the 1990s.
  • A. Mittens
    Mittens is one of the kitten protagonists in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
  • B. Catz
    Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
  • C. Catz
    Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
  • D. Catz
    Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
  • E. Cats
    Cats is a long-running, award-winning musical composed by Andrew Lloyd Webber, based on T.S. Eliot’s "Old Possum’s Book of Practical Cats," renowned for its distinctive costumes, choreography, and songs like "Memory."
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a6006d48190adc03306533b9be6 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17939ed4c8190addfb052b762d454 completed April 4, 2026, 8:48 p.m.
NEDg Description generation batch_69d17a732628819098e50a6ecf47b98c completed April 4, 2026, 8:54 p.m.
NED2 Entity disambiguation (via description) batch_69d17b16d8008190aa9bc71d470be4e5 completed April 4, 2026, 8:56 p.m.
Created at: March 30, 2026, 8:08 p.m.