Triple
T5136390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carry the Banner |
E115832
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object |
Too Many Records
Too Many Records is an independent music label known for releasing underground and alternative artists.
|
E495930
|
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: Too Many Records | Statement: [Carry the Banner, recordLabel, Too Many Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Too Many Records Context triple: [Carry the Banner, recordLabel, Too Many Records]
-
A.
Too Much, Too Soon
Too Much, Too Soon is a 1958 biographical drama film about the troubled life of actress Diana Barrymore, adapted from her memoir of the same name.
-
B.
Too Many People
"Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
-
C.
Never Too Much
"Never Too Much" is a 1981 R&B and soul classic by Luther Vandross that became his signature hit and a defining song of contemporary R&B.
-
D.
Too Many Birds
"Too Many Birds" is a contemplative indie folk song by Bill Callahan, noted for its sparse arrangement and poetic, introspective lyrics.
-
E.
Too Many Parents
Too Many Parents is a 1936 American comedy film featuring Frances Farmer in one of her early notable screen roles.
- 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: Too Many Records Triple: [Carry the Banner, recordLabel, Too Many Records]
Generated description
Too Many Records is an independent music label known for releasing underground and alternative artists.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Too Many Records Target entity description: Too Many Records is an independent music label known for releasing underground and alternative artists.
-
A.
Too Much, Too Soon
Too Much, Too Soon is a 1958 biographical drama film about the troubled life of actress Diana Barrymore, adapted from her memoir of the same name.
-
B.
Too Many People
"Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
-
C.
Never Too Much
"Never Too Much" is a 1981 R&B and soul classic by Luther Vandross that became his signature hit and a defining song of contemporary R&B.
-
D.
Too Many Birds
"Too Many Birds" is a contemplative indie folk song by Bill Callahan, noted for its sparse arrangement and poetic, introspective lyrics.
-
E.
Too Many Parents
Too Many Parents is a 1936 American comedy film featuring Frances Farmer in one of her early notable screen roles.
- 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd785069108190bf9cfdc7d962d43f |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4d04b3c8190bfac5986e1bb89a5 |
completed | March 21, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69bec562d0508190851b5a3307e9405b |
completed | March 21, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bec6478b848190bc09d7f6485681b4 |
completed | March 21, 2026, 4:24 p.m. |
Created at: March 20, 2026, 1:43 p.m.