Triple
T19952821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genius Loves Company |
E479601
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Heaven Help Us All |
—
|
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: Heaven Help Us All | Statement: [Genius Loves Company, hasTrack, Heaven Help Us All]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heaven Help Us All Context triple: [Genius Loves Company, hasTrack, Heaven Help Us All]
-
A.
Heaven Help Us All
chosen
"Heaven Help Us All" is a socially conscious soul song written by Ron Miller and most famously recorded by Stevie Wonder in 1970.
-
B.
Heaven Help the Child
"Heaven Help the Child" is a 1973 country-folk album by American singer-songwriter Mickey Newbury, acclaimed for its poetic songwriting and atmospheric, genre-blending production.
-
C.
Why Wait for Heaven
"Why Wait for Heaven" is a song by the musical duo Wendy & Lisa featured on their album *Eroica*.
-
D.
Heaven Help My Heart
"Heaven Help My Heart" is a poignant ballad from the musical Chess, known for its emotional lyrics and powerful melody.
-
E.
All This, and Heaven Too
All This, and Heaven Too is a 1940 romantic drama film starring Bette Davis and Charles Boyer, adapted from Rachel Field’s novel about a governess entangled in a scandalous French aristocratic household.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aee23488190bd92c1593fbc241c |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.