Triple
T10715082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBC Universo |
E252641
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
mun2
mun2 was a U.S. Spanish-language cable television network targeting young Latino audiences, later rebranded as NBC Universo.
|
E881145
|
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: mun2 | Statement: [NBC Universo, formerName, mun2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: mun2 Context triple: [NBC Universo, formerName, mun2]
-
A.
mun
The mun was the traditional Korean coin-based currency used during the Joseon dynasty before the adoption of modern monetary systems.
-
B.
MU
MU is the common abbreviation for Masaryk University, a major public research university located in Brno, Czech Republic.
-
C.
MU
MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
-
D.
MU
MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
-
E.
unm
unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
- 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: mun2 Triple: [NBC Universo, formerName, mun2]
Generated description
mun2 was a U.S. Spanish-language cable television network targeting young Latino audiences, later rebranded as NBC Universo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: mun2 Target entity description: mun2 was a U.S. Spanish-language cable television network targeting young Latino audiences, later rebranded as NBC Universo.
-
A.
mun
The mun was the traditional Korean coin-based currency used during the Joseon dynasty before the adoption of modern monetary systems.
-
B.
MU
MU is the common abbreviation for Masaryk University, a major public research university located in Brno, Czech Republic.
-
C.
MU
MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
-
D.
MU
MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
-
E.
unm
unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff324d1881908b7cdf4ac208125f |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9991f650881908d8db6e44b2c4543 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e86e198819080f71400295a31e7 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.