Triple

T4486499
Position Surface form Disambiguated ID Type / Status
Subject Sonny Bono Copyright Term Extension Act E107252 entity
Predicate hasAlternativeName P39 FINISHED
Object CTEA
CTEA is the commonly used acronym for the Sonny Bono Copyright Term Extension Act, a U.S. law that lengthened the duration of copyright protection.
E446204 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: CTEA | Statement: [Sonny Bono Copyright Term Extension Act, hasAlternativeName, CTEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTEA
Context triple: [Sonny Bono Copyright Term Extension Act, hasAlternativeName, CTEA]
  • A. CTU
    CTU is a commonly used abbreviation that can refer to various organizations or concepts, most notably the Counter Terrorist Unit in the television series "24."
  • B. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • C. TCAT
    TCAT is the public bus transit system serving Ithaca and the surrounding Tompkins County area in New York State.
  • D. CTN
    CTN is the ICAO airline designator used to identify Croatia Airlines in international aviation operations.
  • E. TAE
    TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
  • 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: CTEA
Triple: [Sonny Bono Copyright Term Extension Act, hasAlternativeName, CTEA]
Generated description
CTEA is the commonly used acronym for the Sonny Bono Copyright Term Extension Act, a U.S. law that lengthened the duration of copyright protection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CTEA
Target entity description: CTEA is the commonly used acronym for the Sonny Bono Copyright Term Extension Act, a U.S. law that lengthened the duration of copyright protection.
  • A. CTU
    CTU is a commonly used abbreviation that can refer to various organizations or concepts, most notably the Counter Terrorist Unit in the television series "24."
  • B. TEC
    TEC is the commonly used acronym for the Episcopal Church, a mainline Anglican Christian denomination based in the United States.
  • C. TCAT
    TCAT is the public bus transit system serving Ithaca and the surrounding Tompkins County area in New York State.
  • D. CTN
    CTN is the ICAO airline designator used to identify Croatia Airlines in international aviation operations.
  • E. TAE
    TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52a958288190974b292f54a0e045 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd679cd3b88190a9b90f50f2b7beae completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd683417b08190bc4e08638a30c0ec completed March 20, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69bd68b4681c8190abb170ccb054cd05 completed March 20, 2026, 3:33 p.m.
Created at: March 20, 2026, 12:59 p.m.