Triple

T6767251
Position Surface form Disambiguated ID Type / Status
Subject Kimbal Musk E154752 entity
Predicate founded P104 FINISHED
Object Big Green
Big Green is a nonprofit organization focused on building learning gardens and promoting healthy eating and food literacy in schools and communities.
 E619850 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: Big Green | Statement: [Kimbal Musk, founded, Big Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Big Green
Context triple: [Kimbal Musk, founded, Big Green]
  • A. Big Green
    Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
  • B. Big Green
    Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
  • C. The Big Green
    The Big Green is a 1995 family sports comedy film about a ragtag youth soccer team in small-town Texas, starring Steve Guttenberg and Olivia d'Abo.
  • D. Baggy Greens
    Baggy Greens is the traditional nickname for the Australian national cricket team, derived from the iconic dark green caps worn by its players.
  • E. Greenleaf
    Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
  • 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: Big Green
Triple: [Kimbal Musk, founded, Big Green]
Generated description
Big Green is a nonprofit organization focused on building learning gardens and promoting healthy eating and food literacy in schools and communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Big Green
Target entity description: Big Green is a nonprofit organization focused on building learning gardens and promoting healthy eating and food literacy in schools and communities.
  • A. Big Green
    Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
  • B. Big Green
    Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
  • C. The Big Green
    The Big Green is a 1995 family sports comedy film about a ragtag youth soccer team in small-town Texas, starring Steve Guttenberg and Olivia d'Abo.
  • D. Baggy Greens
    Baggy Greens is the traditional nickname for the Australian national cricket team, derived from the iconic dark green caps worn by its players.
  • E. Greenleaf
    Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2303c6881909405f0d6089dbe12 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a7da01c8190995885eeb4ba6253 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b88b27c8190b803f0e9f6402c44 completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c91e08c81908be81efc2087464a completed March 28, 2026, 12:10 a.m.
Created at: March 27, 2026, 2:12 p.m.