Triple

T1779938
Position Surface form Disambiguated ID Type / Status
Subject Carolina Panthers E39266 entity
Predicate shortName P43 FINISHED
Object CAR
CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
 E199852 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: CAR | Statement: [Carolina Panthers, shortName, CAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAR
Context triple: [Carolina Panthers, shortName, CAR]
  • A. CAR
    CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
  • B. CAR
    CAR is the standard NHL abbreviation for the Carolina Hurricanes professional ice hockey team.
  • C. Cars
    Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
  • D. Mobil
    Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
  • E. Trucks
    "Trucks" is a horror short story by Stephen King in which driverless, malevolent trucks besiege a group of people trapped at a remote truck stop.
  • 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: CAR
Triple: [Carolina Panthers, shortName, CAR]
Generated description
CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAR
Target entity description: CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
  • A. CAR
    CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
  • B. CAR
    CAR is the standard NHL abbreviation for the Carolina Hurricanes professional ice hockey team.
  • C. Cars
    Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
  • D. Mobil
    Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
  • E. Trucks
    "Trucks" is a horror short story by Stephen King in which driverless, malevolent trucks besiege a group of people trapped at a remote truck stop.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e07bd081908e442c1004cdad61 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada99f52a08190854109d152c22be0 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab04b5688190afb3418e9b9da845 completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeaf81e881908f99f5d948e3557b completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.