Triple

T4962059
Position Surface form Disambiguated ID Type / Status
Subject Agnes Martin E111430 entity
Predicate notableWork P4 FINISHED
Object Friendship
"Friendship" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative approach to art.
 E483390 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: Friendship | Statement: [Agnes Martin, notableWork, Friendship]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Friendship
Context triple: [Agnes Martin, notableWork, Friendship]
  • A. Camaraderie
    Camaraderie is a foreign-language film recognized with an honorary award at the 7th Academy Awards.
  • B. Friend
    Friend is a given name that can be used as a first name, as in the case of Friend Richardson.
  • C. The Friendship Theme
    "The Friendship Theme" is a sentimental musical piece from the "Beaches" film soundtrack that underscores the movie’s central bond between its two main characters.
  • D. Best Friend
    "Best Friend" is an R&B song by Brandy, released as a single from her self-titled debut album and known for its smooth groove and affectionate lyrics about sibling friendship.
  • E. Love
    Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
  • 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: Friendship
Triple: [Agnes Martin, notableWork, Friendship]
Generated description
"Friendship" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative approach to art.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Friendship
Target entity description: "Friendship" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative approach to art.
  • A. Camaraderie
    Camaraderie is a foreign-language film recognized with an honorary award at the 7th Academy Awards.
  • B. Friend
    Friend is a given name that can be used as a first name, as in the case of Friend Richardson.
  • C. The Friendship Theme
    "The Friendship Theme" is a sentimental musical piece from the "Beaches" film soundtrack that underscores the movie’s central bond between its two main characters.
  • D. Best Friend
    "Best Friend" is an R&B song by Brandy, released as a single from her self-titled debut album and known for its smooth groove and affectionate lyrics about sibling friendship.
  • E. Love
    Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71dc06a48190827d54a5c0351aab completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81ea8cc08190af40098ca99364f1 completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be82dcc280819098eac824370b1af0 completed March 21, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69be8349507481908643591de7f03f42 completed March 21, 2026, 11:38 a.m.
Created at: March 20, 2026, 1:32 p.m.