Triple
T23366873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Daisley |
E593347
|
entity |
| Predicate | wroteLyricsFor |
P1141
|
FINISHED |
| Object | No More Tears |
—
|
NE NERFINISHED |
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: No More Tears | Statement: [Bob Daisley, wroteLyricsFor, No More Tears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No More Tears Context triple: [Bob Daisley, wroteLyricsFor, No More Tears]
-
A.
No More Tears
chosen
No More Tears is a 1991 heavy metal album by Ozzy Osbourne, best known for its title track and the hit single "Mama, I'm Coming Home."
-
B.
No More Tears
"No More Tears" is a song recorded by the artist known as The Songstress, showcasing her smooth, emotive R&B vocal style.
-
C.
So Many Tears
"So Many Tears" is a reflective and emotionally charged song by Tupac Shakur that explores themes of pain, loss, and inner turmoil.
-
D.
So Many Tears
"So Many Tears" is an R&B/soul song by American singer Regina Belle, showcasing her smooth vocals and emotive, romantic style.
-
E.
No More Tears (Enough Is Enough)
"No More Tears (Enough Is Enough)" is a 1979 disco duet by Donna Summer and Barbra Streisand that became a major hit and an anthem of female empowerment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ad621881908a909f236e6e9c90 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.