Triple

T1326645
Position Surface form Disambiguated ID Type / Status
Subject Middlebury College E28342 entity
Predicate mascot P52 FINISHED
Object Panther
Panther is a powerful, agile big cat often symbolizing stealth and strength, commonly used as a sports team mascot.
 E149777 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: Panther | Statement: [Middlebury College, mascot, Panther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Panther
Context triple: [Middlebury College, mascot, Panther]
  • A. Panther
    The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
  • B. Wolverines
    Wolverines are the fierce, wolverine-themed mascots representing the University of Michigan’s athletic teams, especially its storied football program.
  • C. Lion
    Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
  • D. Lion
    Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
  • E. Lynx
    Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
  • 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: Panther
Triple: [Middlebury College, mascot, Panther]
Generated description
Panther is a powerful, agile big cat often symbolizing stealth and strength, commonly used as a sports team mascot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Panther
Target entity description: Panther is a powerful, agile big cat often symbolizing stealth and strength, commonly used as a sports team mascot.
  • A. Panther chosen
    The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
  • B. Wolverines
    Wolverines are the fierce, wolverine-themed mascots representing the University of Michigan’s athletic teams, especially its storied football program.
  • C. Lion
    Lion is a 2016 biographical drama film about an Indian boy separated from his family and adopted in Australia who later uses Google Earth to find his way home.
  • D. Lion
    Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
  • E. Lynx
    Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
  • F. None of above.

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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c0a22881909eff0fc6c91a5f41 completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf3038148190bd945f67e1a619ca completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbf958b308190874369550420f827 completed March 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69acc0c32180819082af905fd56c4b27 completed March 8, 2026, 12:20 a.m.
Created at: March 1, 2026, 7:55 p.m.