Triple
T19914328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Vallance |
E478625
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tears Are Not Enough |
—
|
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: Tears Are Not Enough | Statement: [Jim Vallance, notableWork, Tears Are Not Enough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tears Are Not Enough Context triple: [Jim Vallance, notableWork, Tears Are Not Enough]
-
A.
Tears Are Not Enough
"Tears Are Not Enough" is a 1981 synth-pop single by English band ABC, later featured on their acclaimed debut album "The Lexicon of Love."
-
B.
Tears Are Not Enough
chosen
"Tears Are Not Enough" is a 1985 Canadian charity single recorded by a supergroup of Canadian artists to raise funds for famine relief in Africa.
-
C.
No Time for Tears
"No Time for Tears" is a song by American singer Ashlee Simpson from her pop-rock album "Bittersweet World."
-
D.
Too Late for Tears
Too Late for Tears is a 1949 film noir thriller about a housewife corrupted by a sudden windfall of illicit cash, noted for Lizabeth Scott’s hard-edged, morally ambiguous performance.
-
E.
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.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659928030819085a4aafc6a0ef5c8 |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:53 p.m.