Triple
T20894980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clearwire Corporation |
E514508
|
entity |
| Predicate | networkBrand |
P1500
|
FINISHED |
| Object |
CLEAR
CLEAR was a U.S. wireless broadband service brand offering 4G WiMAX internet access to consumers and businesses.
|
E1456750
|
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: CLEAR | Statement: [Clearwire Corporation, networkBrand, CLEAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLEAR Context triple: [Clearwire Corporation, networkBrand, CLEAR]
-
A.
Clear
"Clear" is a song by Twenty One Pilots featured on their album *Regional at Best*.
-
B.
Clear
Clear is a central Scientology attainment state in which a person is believed to be free from the influence of the reactive mind and its stored traumas.
-
C.
LEAR
LEAR (Low Energy Antiproton Ring) was a CERN facility designed to store and decelerate antiprotons for precision experiments in antimatter physics.
-
D.
CLEAR Plus
CLEAR Plus is a paid airport security membership program that uses biometric identity verification to let travelers skip ID checks and access expedited screening lanes at participating airports and venues.
-
E.
CLAR
CLAR is a digital platform designed to streamline and manage research-related administrative and compliance processes.
- 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: CLEAR Triple: [Clearwire Corporation, networkBrand, CLEAR]
Generated description
CLEAR was a U.S. wireless broadband service brand offering 4G WiMAX internet access to consumers and businesses.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CLEAR Target entity description: CLEAR was a U.S. wireless broadband service brand offering 4G WiMAX internet access to consumers and businesses.
-
A.
Clear
"Clear" is a song by Twenty One Pilots featured on their album *Regional at Best*.
-
B.
Clear
Clear is a central Scientology attainment state in which a person is believed to be free from the influence of the reactive mind and its stored traumas.
-
C.
LEAR
LEAR (Low Energy Antiproton Ring) was a CERN facility designed to store and decelerate antiprotons for precision experiments in antimatter physics.
-
D.
CLEAR Plus
CLEAR Plus is a paid airport security membership program that uses biometric identity verification to let travelers skip ID checks and access expedited screening lanes at participating airports and venues.
-
E.
CLAR
CLAR is a digital platform designed to streamline and manage research-related administrative and compliance processes.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d06129788190b88ab807af4641c1 |
completed | April 21, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918cd21dc8190b7c7101d83ebfba5 |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a0919e92f7c8190ab3b9b8cbfa6f7a4 |
completed | May 17, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a091a543580819099649ae1d8283606 |
completed | May 17, 2026, 1:31 a.m. |
Created at: April 16, 2026, 12:47 p.m.