Triple

T20331206
Position Surface form Disambiguated ID Type / Status
Subject Trudy Campbell E492484 entity
Predicate network P2637 FINISHED
Object AMC
AMC is an American cable television network best known for acclaimed original series such as Mad Men, Breaking Bad, and The Walking Dead.
E82644 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: AMC | Statement: [Trudy Campbell, network, AMC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMC
Context triple: [Trudy Campbell, network, AMC]
  • A. AMC
    AMC refers to Allied Military Currency, special banknotes issued by Allied forces during and after World War II for use in occupied and liberated territories.
  • B. AMC
    AMC (American Motors Corporation) was a major American automaker known for its innovative, compact, and performance-oriented cars that competed in various racing series and the broader automotive market from the 1950s through the 1980s.
  • C. AMC
    AMC (American Motors Corporation) was a U.S. automaker known for its innovative compact and performance cars, including models that competed successfully in series like SCCA Trans-Am.
  • D. AMC
    AMC is a series of nationally recognized mathematics competitions in the United States that challenge and identify talented middle and high school students.
  • E. AMC
    AMC is a regional healthcare provider known as Adirondack Medical Center, serving communities in the Adirondack region of New York State.
  • 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: AMC
Triple: [Trudy Campbell, network, AMC]
Generated description
AMC is an American cable television network best known for acclaimed original series such as Mad Men, Breaking Bad, and The Walking Dead.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AMC
Target entity description: AMC is an American cable television network best known for acclaimed original series such as Mad Men, Breaking Bad, and The Walking Dead.
  • A. AMC chosen
    AMC is an American cable television network known for acclaimed original series such as "Mad Men," "Breaking Bad," and "The Walking Dead."
  • B. AMC
    AMC is a regional healthcare provider known as Adirondack Medical Center, serving communities in the Adirondack region of New York State.
  • C. AMC
    AMC is the stock ticker symbol for AMC Entertainment Holdings, Inc., a major American movie theater chain.
  • D. AMC
    AMC is a series of nationally recognized mathematics competitions in the United States that challenge and identify talented middle and high school students.
  • E. AMC
    AMC (American Motors Corporation) was a U.S. automaker known for its innovative compact and performance cars, including models that competed successfully in series like SCCA Trans-Am.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e7baf481909282293d78597634 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086951af848190ae8085b7917ea551 completed May 16, 2026, 12:55 p.m.
NEDg Description generation batch_6a0869e2a80481909105005195330dc9 completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a6812a08190b4594fa9b6054355 completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:22 a.m.