Triple
T16670764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patience |
E405098
|
entity |
| Predicate | hasChorus |
P1369
|
FINISHED |
| Object | I need you |
E899426
|
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: I need you | Statement: [Patience, hasChorus, I need you]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I need you Context triple: [Patience, hasChorus, I need you]
-
A.
I Need You
"I Need You" is a song featured on the album "As I Am," likely contributing to the record's emotional and musical themes.
-
B.
I Need You
"I Need You" is a hit soft rock song by the band America, known for its mellow harmonies and emotional lyrics, which helped establish the group's early 1970s success.
-
C.
I Need You
chosen
"I Need You" is a 1965 love song by the Beatles, written by George Harrison and featured on the soundtrack to their film "Help!".
-
D.
When I Need You
"When I Need You" is a popular soft rock ballad from the 1970s, best known through Leo Sayer's hit recording and widely covered by various artists.
-
E.
We Need You
"We Need You" is a song featured on Diana Ross's 1973 soul and pop album "Touch Me in the Morning."
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca079ec819090b356c86a9241cc |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3692588190a94d349cb63d9749 |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:18 a.m.