Triple
T19257318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There and Back |
E481548
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Jan Hammer |
—
|
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: Jan Hammer | Statement: [There and Back, composer, Jan Hammer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Hammer Context triple: [There and Back, composer, Jan Hammer]
-
A.
Jan Hammer
chosen
Jan Hammer is a Czech-American keyboardist and composer best known for his pioneering fusion work and for composing the iconic Miami Vice television soundtrack.
-
B.
Marty Diamond
Marty Diamond is a prominent music industry executive and talent agent known for shaping the careers of major artists and helping develop influential music festivals.
-
C.
Paul Jabara
Paul Jabara was an American singer, songwriter, and actor best known for writing hit disco songs such as Donna Summer’s “Last Dance” and the Weather Girls’ “It’s Raining Men.”
-
D.
Marty Snider
Marty Snider is an American motorsports broadcaster best known for his pit reporting and analysis on NASCAR television coverage.
-
E.
Kupferhammer
Kupferhammer is a locality within the town of Eberswalde in the state of Brandenburg, Germany.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb862f848190977987e0327ce41d |
completed | April 20, 2026, 10:10 a.m. |
Created at: April 10, 2026, 1:28 p.m.