Triple
T19693741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Four record companies |
E472898
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
the majors
The majors are the four largest multinational music corporations that dominate the global recording industry.
|
E1390733
|
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: the majors | Statement: [Big Four record companies, alsoKnownAs, the majors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the majors Context triple: [Big Four record companies, alsoKnownAs, the majors]
-
A.
Major Leagues
"Major Leagues" is a song by the American indie rock band Pavement, known as one of the standout tracks from their later-period work.
-
B.
Major the Majors
Major the Majors is the costumed athletic mascot representing Millsaps College and its sports teams.
-
C.
Major League
Major League is a 1989 sports comedy film about a ragtag Cleveland Indians baseball team that unexpectedly becomes competitive despite its owner's attempts to make it fail.
-
D.
Major League
Major League is the highest level of professional baseball competition in North America, encompassing Major League Baseball’s top-tier teams.
-
E.
Mayores
"Mayores" is a 2017 reggaeton-pop single by Becky G featuring Bad Bunny that became one of her breakthrough international hits.
- 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: the majors Triple: [Big Four record companies, alsoKnownAs, the majors]
Generated description
The majors are the four largest multinational music corporations that dominate the global recording industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: the majors Target entity description: The majors are the four largest multinational music corporations that dominate the global recording industry.
-
A.
Major Leagues
"Major Leagues" is a song by the American indie rock band Pavement, known as one of the standout tracks from their later-period work.
-
B.
Major the Majors
Major the Majors is the costumed athletic mascot representing Millsaps College and its sports teams.
-
C.
Major League
Major League is a 1989 sports comedy film about a ragtag Cleveland Indians baseball team that unexpectedly becomes competitive despite its owner's attempts to make it fail.
-
D.
Major League
Major League is the highest level of professional baseball competition in North America, encompassing Major League Baseball’s top-tier teams.
-
E.
Mayores
"Mayores" is a 2017 reggaeton-pop single by Becky G featuring Bad Bunny that became one of her breakthrough international hits.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64211e5d481908358d922e0dca271 |
completed | April 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab909910819082efea55b128d8d4 |
completed | May 15, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a07ac32e6e08190bc4ec2b52adf2f6b |
completed | May 15, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07accedd6c81908f97a6d742e3f60a |
completed | May 15, 2026, 11:31 p.m. |
Created at: April 10, 2026, 1:46 p.m.