Triple
T7293005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears in Heaven |
E164443
|
entity |
| Predicate | lyricsBy |
P1141
|
FINISHED |
| Object | Will Jennings |
E164443
|
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: Will Jennings | Statement: [Tears in Heaven, lyricsBy, Will Jennings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Jennings Context triple: [Tears in Heaven, lyricsBy, Will Jennings]
-
A.
Will Jennings
chosen
Will Jennings is an American songwriter and lyricist best known for penning the lyrics to numerous hit songs, including the Oscar-winning "My Heart Will Go On" from Titanic.
-
B.
Don James
Don James was a highly successful American college football coach best known for leading the University of Washington Huskies to national prominence, including a share of the 1991 national championship.
-
C.
Sam O'Steen
Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
-
D.
Bo Welch
Bo Welch is an American production designer and film director known for his imaginative visual work on films such as "Beetlejuice," "Edward Scissorhands," and "Men in Black."
-
E.
Dan Moore
Dan Moore is a fictional character appearing in the work "Cane."
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6fc5788190b1b339d051f93c22 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810c167848190a70f4e43c19f5809 |
completed | March 28, 2026, 5:32 p.m. |
Created at: March 27, 2026, 3 p.m.