Triple

T7878510
Position Surface form Disambiguated ID Type / Status
Subject Louisville Panthers E182916 entity
Predicate abbreviation P43 FINISHED
Object LOU
LOU is the standard sports abbreviation used to represent the Louisville Panthers team.
 E701087 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: LOU | Statement: [Louisville Panthers, abbreviation, LOU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LOU
Context triple: [Louisville Panthers, abbreviation, LOU]
  • A. Lou
    Lou is a common diminutive form of the given name Louise.
  • B. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • C. Lour
    Lour is a Scottish estate historically linked to the Carnegie family, notably associated with the title "Carnegie of Lour."
  • D. Louw
    Louw is a surname of Afrikaans and Dutch origin borne by several notable South African figures, including writers and public personalities.
  • E. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • 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: LOU
Triple: [Louisville Panthers, abbreviation, LOU]
Generated description
LOU is the standard sports abbreviation used to represent the Louisville Panthers team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LOU
Target entity description: LOU is the standard sports abbreviation used to represent the Louisville Panthers team.
  • A. Lou
    Lou is a common diminutive form of the given name Louise.
  • B. Lou
    Lou is a character from the virtual reality co-op shooter game "After the Fall," set in a post-apocalyptic, frozen Los Angeles overrun by mutated creatures.
  • C. Lour
    Lour is a Scottish estate historically linked to the Carnegie family, notably associated with the title "Carnegie of Lour."
  • D. Louw
    Louw is a surname of Afrikaans and Dutch origin borne by several notable South African figures, including writers and public personalities.
  • E. LAU
    LAU is a private, internationally oriented university in Lebanon known for its American-style higher education and multiple campuses.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39bd64e481909f699e7dd2818b8f completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b86c20081909aa029cda7c48d44 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7631d10881908e3c7dacb98520cd completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf847f3c819092d690d8d65f6d60 completed March 31, 2026, 12:35 p.m.
Created at: March 30, 2026, 4:57 p.m.