Triple
T5691938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yes |
E125445
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | And You and I |
E202276
|
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: And You and I | Statement: [Yes, notableSong, And You and I]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: And You and I Context triple: [Yes, notableSong, And You and I]
-
A.
And You and I
chosen
"And You and I" is a 1972 progressive rock epic by the English band Yes, known for its complex structure, melodic richness, and prominent use of synthesizers and acoustic guitar.
-
B.
You and I
"You and I" is a 1923 stage comedy by American playwright Philip Barry that helped establish his reputation for sophisticated, witty drawing-room plays.
-
C.
You and I
"You and I" is a song by Kenny Rogers from his 1983 album "Eyes That See in the Dark," written by the Bee Gees and known for its soft rock and country-pop style.
-
D.
Between Me and You
"Between Me and You" is a 2000 hip hop and R&B single by Ja Rule featuring Christina Milian that became one of his early mainstream hits.
-
E.
You and Me
"You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e500ec8190bfda4f6a818aa5dc |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a4baea481908b4766888fd3edf1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.