Triple
T14687956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Never Dies |
E344962
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Charles Hart |
E420491
|
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: Charles Hart | Statement: [Love Never Dies, lyricist, Charles Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Hart Context triple: [Love Never Dies, lyricist, Charles Hart]
-
A.
Charles Hart
chosen
Charles Hart is a British lyricist best known for writing the lyrics to Andrew Lloyd Webber’s hit musical "The Phantom of the Opera."
-
B.
Ted Hartley
Ted Hartley is an American actor, former Navy fighter pilot, and film producer who later became chairman and CEO of RKO Pictures.
-
C.
John Hartman
John Hartman was an American drummer best known as a founding member and key rhythmic force of the rock band The Doobie Brothers.
-
D.
Gordon Heath
Gordon Heath was an American actor, singer, and director known for his work on stage and in film, as well as for his influential career in Europe, particularly in France.
-
E.
Robert Hurst
Robert Hurst is an American jazz bassist and composer known for his work with prominent artists and contributions to contemporary jazz recordings.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58306548190b981956a83a84b95 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd1de868819084d71f75210d14f5 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 1:28 a.m.