Triple
T10218531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Puckett |
E242511
|
entity |
| Predicate | performedSong |
P11145
|
FINISHED |
| Object | Over You |
E850406
|
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: Over You | Statement: [Gary Puckett, performedSong, Over You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Over You Context triple: [Gary Puckett, performedSong, Over You]
-
A.
Over You
chosen
"Over You" is a pop song performed by Gary Puckett and the Union Gap that became one of the group's notable late-1960s hits.
-
B.
Over You
"Over You" is a soul- and funk-infused track by Raphael Saadiq from his critically acclaimed album "Stone Rollin'."
-
C.
Bye and Bye
"Bye and Bye" is a country song recorded by the American duo Love and Theft.
-
D.
Cry to Me
"Cry to Me" is a soulful rhythm and blues song best known for Solomon Burke’s 1962 recording, which became a classic of early soul music.
-
E.
Not While I’m Around
"Not While I’m Around" is a protective, tender ballad from Stephen Sondheim’s musical *Sweeney Todd: The Demon Barber of Fleet Street*, later popularized by Barbra Streisand’s recording on *The Broadway Album*.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa6fcf6c81908a589585bbd48ab8 |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6ffefb881908296481343fb7ad3 |
completed | April 9, 2026, 12:46 a.m. |
Created at: April 6, 2026, 11:08 a.m.