Triple
T9396657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram |
E226159
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Too Many People |
E225555
|
NE FINISHED |
How this triple was built (2 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.
Too Many People
chosen
"Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
-
B.
Too Much
"Too Much" is a 1957 rock and roll song by Elvis Presley that became one of his early chart-topping hits.
-
C.
Too Much
"Too Much" is a 1997 pop ballad by the Spice Girls that became one of their hit singles, showcasing their signature harmonies and topping charts in several countries.
-
D.
More Than Anyone
"More Than Anyone" is a soulful pop-rock ballad by American singer-songwriter Gavin DeGraw, known for its heartfelt lyrics and emotive vocal delivery.
-
E.
People Come People Go
"People Come People Go" is a track by French DJ and producer David Guetta featured on his debut studio album "Just a Little More Love."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51528b2481908ca1f1840d2594b4 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107949fe4819089f68a2c368af82f |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:46 p.m.