Triple

T709240
Position Surface form Disambiguated ID Type / Status
Subject Lewis & Clark College E14169 entity
Predicate hasMascot P52 FINISHED
Object Pio
Pio is the costumed mascot representing the athletic teams and school spirit of Lewis & Clark College.
 E90243 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: Pio | Statement: [Lewis & Clark College, hasMascot, Pio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pio
Context triple: [Lewis & Clark College, hasMascot, Pio]
  • A. E Pier
    E Pier is one of the main passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international flights.
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • C. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • D. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • E. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • 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: Pio
Triple: [Lewis & Clark College, hasMascot, Pio]
Generated description
Pio is the costumed mascot representing the athletic teams and school spirit of Lewis & Clark College.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pio
Target entity description: Pio is the costumed mascot representing the athletic teams and school spirit of Lewis & Clark College.
  • A. E Pier
    E Pier is one of the main passenger boarding concourses at Amsterdam Airport Schiphol, serving multiple gates for international flights.
  • B. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • C. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • D. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • E. Riggo
    Riggo is the nickname of John Riggins, a Hall of Fame NFL running back best known for his powerful rushing style with the Washington Redskins.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a55b63988190837e71fcdf3e39a6 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e39a2d4819086ef9b5fba62a725 completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65ee094ec8190a9eccffa14bc7b9c completed March 3, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69a65f8b848c81908bd622b084813443 completed March 3, 2026, 4:11 a.m.
Created at: March 1, 2026, 7:36 p.m.