Triple

T9754440
Position Surface form Disambiguated ID Type / Status
Subject EVE E236518 entity
Predicate affiliation P10 FINISHED
Object Buy n Large
Buy n Large is the massive, monopolistic megacorporation in Pixar's "WALL·E" universe that dominates global commerce and spacefaring operations.
 E818208 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: Buy n Large | Statement: [EVE, affiliation, Buy n Large]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buy n Large
Context triple: [EVE, affiliation, Buy n Large]
  • A. The Big Store
    The Big Store is a 1941 Marx Brothers comedy film featuring their trademark slapstick, wordplay, and musical numbers set in a chaotic department store.
  • B. The Big Box
    The Big Box is a children's book by Toni Morrison that explores themes of freedom and control through the story of three kids who are confined to a special room despite their good behavior.
  • C. The Big Box
    The Big Box is a colloquial nickname for the city of El Cajon in California, reflecting its box-like valley geography.
  • D. The Big M
    The Big M is a prominent harness racing track located at the Meadowlands Sports Complex in East Rutherford, New Jersey.
  • E. Big Z
    Big Z is the longtime Cleveland Cavaliers center Zydrunas Ilgauskas, a two-time NBA All-Star known for his height, shooting touch, and resilience through foot injuries.
  • 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: Buy n Large
Triple: [EVE, affiliation, Buy n Large]
Generated description
Buy n Large is the massive, monopolistic megacorporation in Pixar's "WALL·E" universe that dominates global commerce and spacefaring operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buy n Large
Target entity description: Buy n Large is the massive, monopolistic megacorporation in Pixar's "WALL·E" universe that dominates global commerce and spacefaring operations.
  • A. The Big Store
    The Big Store is a 1941 Marx Brothers comedy film featuring their trademark slapstick, wordplay, and musical numbers set in a chaotic department store.
  • B. The Big Box
    The Big Box is a children's book by Toni Morrison that explores themes of freedom and control through the story of three kids who are confined to a special room despite their good behavior.
  • C. The Big Box
    The Big Box is a colloquial nickname for the city of El Cajon in California, reflecting its box-like valley geography.
  • D. The Big M
    The Big M is a prominent harness racing track located at the Meadowlands Sports Complex in East Rutherford, New Jersey.
  • E. Big Z
    Big Z is the longtime Cleveland Cavaliers center Zydrunas Ilgauskas, a two-time NBA All-Star known for his height, shooting touch, and resilience through foot injuries.
  • 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb01ad08190b2435fa505c622bc completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b02ff0f4819080410d4e7e809a24 completed April 5, 2026, 12:43 a.m.
NEDg Description generation batch_69d1b1b8c75481909b847591b80255bc completed April 5, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69d1b24f4af4819089b7e5b2b0165808 completed April 5, 2026, 12:52 a.m.
Created at: March 30, 2026, 8:24 p.m.