Triple

T9636174
Position Surface form Disambiguated ID Type / Status
Subject Montgomery County Community College E232937 entity
Predicate mascot P52 FINISHED
Object Mustangs
Mustangs is the athletic mascot representing Montgomery County Community College’s sports teams.
E811561 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: Mustangs | Statement: [Montgomery County Community College, mascot, Mustangs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mustangs
Context triple: [Montgomery County Community College, mascot, Mustangs]
  • A. Mustangs
    The Mustangs are the intercollegiate athletic teams representing California Polytechnic State University in San Luis Obispo.
  • B. Mustangs
    Mustangs are the athletic teams and school spirit symbol representing Milton Academy in its interscholastic sports and community events.
  • C. Mustangs
    Mustangs is the nickname for the athletic teams representing Central Maine Community College in intercollegiate sports.
  • D. Mustangs
    The Mustangs are the athletic teams representing Morningside College in intercollegiate sports.
  • E. Mustangs
    Mustangs are the athletic teams and school spirit symbol representing Downers Grove South High School.
  • 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: Mustangs
Triple: [Montgomery County Community College, mascot, Mustangs]
Generated description
Mustangs is the athletic mascot representing Montgomery County Community College’s sports teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mustangs
Target entity description: Mustangs is the athletic mascot representing Montgomery County Community College’s sports teams.
  • A. Mustangs
    Mustangs is the nickname for the athletic teams representing Central Maine Community College in intercollegiate sports.
  • B. Mustangs
    Mustangs is the nickname for the athletic teams representing Southern Methodist University in collegiate sports.
  • C. Mustangs
    Mustangs are the athletic teams and school spirit symbol representing Milton Academy in its interscholastic sports and community events.
  • D. Mustangs
    The Mustangs are the athletic teams representing Morningside College in intercollegiate sports.
  • E. Mustangs
    Mustangs are the athletic teams and school spirit symbol representing Downers Grove South High School.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2ba0308190931993c0321f6051 completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1823e32c48190a442b77a0f7c8180 completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d18393656c81908821ae0d7af83a57 completed April 4, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69d183f733cc8190bbb69c035c1d397a completed April 4, 2026, 9:34 p.m.
Created at: March 30, 2026, 8:11 p.m.