Triple

T2016876
Position Surface form Disambiguated ID Type / Status
Subject Garrett Camp E44014 entity
Predicate givenName P17 FINISHED
Object Garrett
Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
 E227391 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: Garrett | Statement: [Garrett Camp, givenName, Garrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garrett
Context triple: [Garrett Camp, givenName, Garrett]
  • A. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • B. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • C. Jared
    Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
  • D. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • E. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • 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: Garrett
Triple: [Garrett Camp, givenName, Garrett]
Generated description
Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garrett
Target entity description: Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
  • A. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • B. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • C. Jared
    Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
  • D. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • E. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8ccdb7c81909f6b3c96f79fcdfc completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af1547481909d5f2ca9c4715ace completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0b76f0fc8190bb5f40689ee7f8fe completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c586bd88190ae23e84291d2fe81 completed March 8, 2026, 11:55 p.m.
Created at: March 4, 2026, 7:38 p.m.