Triple
T8935709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lexicon of Love |
E212769
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Tears Are Not Enough |
E767035
|
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: Tears Are Not Enough | Statement: [The Lexicon of Love, notableSingle, Tears Are Not Enough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tears Are Not Enough Context triple: [The Lexicon of Love, notableSingle, Tears Are Not Enough]
-
A.
Tears Are Not Enough
"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.
-
B.
Tears Are Not Enough
chosen
"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."
-
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.
Hold Back the Tears
"Hold Back the Tears" is a song featured on the album *Dream Street* by American singer Janet Jackson.
-
E.
Talk Thru the Tears
"Talk Thru the Tears" is a song featured on the album "Blue with Lou," showcasing a blend of rock and introspective lyricism.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66928cec8190915636d663f843af |
completed | April 1, 2026, 12:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc937ded08190a67fd4457b6458ff |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:58 p.m.