Triple

T19691486
Position Surface form Disambiguated ID Type / Status
Subject Lance E472844 entity
Predicate notableProduct P1448 FINISHED
Object Lance Nekot
Lance Nekot is a popular sandwich cookie brand consisting of peanut butter or other fillings between two crispy cookies, produced by the Lance snack company.
E1389299 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: Lance Nekot | Statement: [Lance, notableProduct, Lance Nekot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lance Nekot
Context triple: [Lance, notableProduct, Lance Nekot]
  • A. Scott Lancer
    Scott Lancer is a fictional protagonist from the Western television series "Lancer," known as the educated, Boston-raised son who returns to help run his family's California ranch.
  • B. Lance Lamont
    Lance Lamont is an individual notable enough to be specifically cited as a bearer of the surname Lamont.
  • C. Troy Noka
    Troy Noka is a music producer known for his work in contemporary R&B and pop, collaborating with prominent artists such as Doja Cat.
  • D. Lance Stater
    Lance Stater is a central character in the British comedy series "Detectorists," portrayed as an earnest, somewhat melancholic metal-detecting enthusiast and best friend of Andy Stone.
  • E. Lance
    Lance is a snack food brand best known for its sandwich crackers and other packaged snack products.
  • 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: Lance Nekot
Triple: [Lance, notableProduct, Lance Nekot]
Generated description
Lance Nekot is a popular sandwich cookie brand consisting of peanut butter or other fillings between two crispy cookies, produced by the Lance snack company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lance Nekot
Target entity description: Lance Nekot is a popular sandwich cookie brand consisting of peanut butter or other fillings between two crispy cookies, produced by the Lance snack company.
  • A. Scott Lancer
    Scott Lancer is a fictional protagonist from the Western television series "Lancer," known as the educated, Boston-raised son who returns to help run his family's California ranch.
  • B. Lance Lamont
    Lance Lamont is an individual notable enough to be specifically cited as a bearer of the surname Lamont.
  • C. Troy Noka
    Troy Noka is a music producer known for his work in contemporary R&B and pop, collaborating with prominent artists such as Doja Cat.
  • D. Lance Stater
    Lance Stater is a central character in the British comedy series "Detectorists," portrayed as an earnest, somewhat melancholic metal-detecting enthusiast and best friend of Andy Stone.
  • E. Lance
    Lance is a masculine given name of Germanic origin commonly used in English-speaking countries.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6421013c4819095e80aadfe590102 completed April 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0787ce586c8190b75dbf719e9a9f3e completed May 15, 2026, 8:53 p.m.
NEDg Description generation batch_6a079103857081908bbcd7eb0d003a9a completed May 15, 2026, 9:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0791f98d94819093e70884ee3b6c5c completed May 15, 2026, 9:36 p.m.
Created at: April 10, 2026, 1:46 p.m.