Triple
T18097907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Tell Mama" |
E433135
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Marcus Daniel |
—
|
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: Marcus Daniel | Statement: ["Tell Mama", lyricist, Marcus Daniel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcus Daniel Context triple: ["Tell Mama", lyricist, Marcus Daniel]
-
A.
Marcus Daniel
chosen
Marcus Daniel is a songwriter best known for co-writing the classic soul song "Tell Mama," popularized by Etta James.
-
B.
Marcian Hoff
Marcian Hoff, also known as Ted Hoff, is an American engineer and inventor widely recognized as one of the creators of the first commercial microprocessor and a pioneer of modern microcomputing.
-
C.
Daniel Tarschys
Daniel Tarschys is a Swedish political scientist and politician who served as Secretary General of the Council of Europe in the 1990s.
-
D.
Daniel Marhely
Daniel Marhely is a French tech entrepreneur best known for co-founding the music streaming service Deezer.
-
E.
Count Andrenyi
Count Andrenyi is a fictional Hungarian nobleman and one of the key suspects in Agatha Christie's classic Hercule Poirot detective novel "Murder on the Orient Express."
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb3ef548190a322f98917b54a59 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:27 a.m.