Triple
T17015476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bugaloos |
E412808
|
entity |
| Predicate | hasMusicBy |
P1952
|
FINISHED |
| Object | Norman Gimbel |
—
|
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: Norman Gimbel | Statement: [The Bugaloos, hasMusicBy, Norman Gimbel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Gimbel Context triple: [The Bugaloos, hasMusicBy, Norman Gimbel]
-
A.
Norman Gimbel
chosen
Norman Gimbel was an American lyricist renowned for writing English-language lyrics to numerous popular songs and film themes, including classics like "Killing Me Softly with His Song" and "The Girl from Ipanema."
-
B.
Mack David
Mack David was an American lyricist and songwriter known for his popular song adaptations and contributions to film and television music.
-
C.
Gerry Goffin
Gerry Goffin was an American lyricist best known for his prolific 1960s songwriting partnership with Carole King, creating numerous classic pop and soul hits.
-
D.
Harold Rome
Harold Rome was an American composer and lyricist best known for his work on Broadway musicals and film scores in the mid-20th century.
-
E.
Jerry Livingston
Jerry Livingston was an American songwriter and composer best known for his popular film and pop standards, including work on classic Disney songs.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47f198c8190b0473f638101f606 |
completed | April 18, 2026, 6:59 p.m. |
Created at: April 10, 2026, 5:33 a.m.