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.