Triple
T11271990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Try a Little Tenderness |
E266835
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Jimmy Campbell |
E916842
|
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: Jimmy Campbell | Statement: [Try a Little Tenderness, lyricist, Jimmy Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Campbell Context triple: [Try a Little Tenderness, lyricist, Jimmy Campbell]
-
A.
Jimmy Campbell
chosen
Jimmy Campbell was a British songwriter best known for co-writing the popular standard "Try a Little Tenderness" and other songs of the early 20th century.
-
B.
Andrew Campbell
Andrew Campbell was an American explorer best known for leading the 1878 discovery of Luray Caverns in Virginia.
-
C.
Mac Campbell
Mac Campbell is a thoughtful, bookish young cousin in Louisa May Alcott’s novel "Eight Cousins," known for his intelligence, sensitivity, and close relationship with the heroine, Rose.
-
D.
Alan Campbell
Alan Campbell was an American screenwriter best known for his collaborations with his wife Dorothy Parker on classic Hollywood films in the 1930s and 1940s.
-
E.
Jim Campbell
Jim Campbell is an American artist and pioneering LED light sculptor known for his large-scale, low-resolution public light installations.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9506204819089dc0827483bd948 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e542c5fdb88190968831279eaeea49 |
completed | April 19, 2026, 9:01 p.m. |
Created at: April 8, 2026, 9:31 p.m.