Triple
T2009775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram |
E43663
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
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.
|
E225555
|
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 People | Statement: [Ram, hasTrack, Too Many People]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Too Many People Context triple: [Ram, hasTrack, Too Many People]
-
A.
All Over the Town
All Over the Town is a British film featuring actress Sarah Churchill in a prominent role.
-
B.
Meet Me on the Roof
"Meet Me on the Roof" is a song by American rock band Green Day from their 2020 album "Father of All Motherfuckers."
-
C.
Out in the Street
"Out in the Street" is a rock song by Bruce Springsteen from his 1980 album *The River*, known for its upbeat sound and themes of working-class freedom and camaraderie.
-
D.
The Crowds
The Crowds is an English title for the 39th chapter of the Qur’an, which emphasizes sincere worship of God alone and contrasts the fates of believers and disbelievers.
-
E.
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.
- 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 People Triple: [Ram, hasTrack, Too Many People]
Generated description
"Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Too Many People Target entity description: "Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
-
A.
All Over the Town
All Over the Town is a British film featuring actress Sarah Churchill in a prominent role.
-
B.
Meet Me on the Roof
"Meet Me on the Roof" is a song by American rock band Green Day from their 2020 album "Father of All Motherfuckers."
-
C.
Out in the Street
"Out in the Street" is a rock song by Bruce Springsteen from his 1980 album *The River*, known for its upbeat sound and themes of working-class freedom and camaraderie.
-
D.
The Crowds
The Crowds is an English title for the 39th chapter of the Qur’an, which emphasizes sincere worship of God alone and contrasts the fates of believers and disbelievers.
-
E.
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.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8afe6f8819092679c86d1f2d041 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ae5f0748190aecee47884c61ecc |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0bab9d7c8190acde67a6301e18ec |
completed | March 8, 2026, 11:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c2fe1a88190867b1d533d58b7fc |
completed | March 8, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:37 p.m.