Triple
T15565795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Old Man and the Gun |
E371110
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Daniel Hart |
E254796
|
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: Daniel Hart | Statement: [The Old Man and the Gun, musicBy, Daniel Hart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Hart Context triple: [The Old Man and the Gun, musicBy, Daniel Hart]
-
A.
Daniel Hart
chosen
Daniel Hart is an American composer and musician known for his evocative film scores and frequent collaborations with director David Lowery.
-
B.
David Kraft
David Kraft is a member of the prominent Kraft family, known for its significant influence in the American food industry and philanthropy.
-
C.
David Hassinger
David Hassinger was an American recording engineer and producer known for his work with prominent 1960s rock acts, including the Grateful Dead and the Electric Prunes.
-
D.
Don Sebesky
Don Sebesky was an American jazz trombonist, composer, and prolific arranger best known for his innovative orchestrations for major jazz and pop artists.
-
E.
Dennis Marks
Dennis Marks is a name shared by several notable individuals, including an American television producer and writer and a British opera director and translator.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f30e48881908b30a71796fe0d72 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:10 a.m.