Triple
T5885217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Day More |
E130844
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Alain Boublil |
E127510
|
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: Alain Boublil | Statement: [One Day More, lyricist, Alain Boublil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alain Boublil Context triple: [One Day More, lyricist, Alain Boublil]
-
A.
Alain Boublil
chosen
Alain Boublil is a French lyricist and librettist best known for co-creating the stage musical Les Misérables and other major musical theatre works.
-
B.
Claude-Michel Schönberg
Claude-Michel Schönberg is a French composer best known for co-creating the hit stage musicals Les Misérables and Miss Saigon.
-
C.
Maury Yeston
Maury Yeston is an American composer and lyricist best known for his work on Broadway musicals such as "Nine," "Titanic," and "Grand Hotel," for which he has won multiple Tony Awards.
-
D.
Fred Ebb
Fred Ebb was an American lyricist best known for his long-running musical theater partnership with composer John Kander, creating shows such as "Cabaret" and "Chicago."
-
E.
Jerry Herman
Jerry Herman was an American composer and lyricist best known for his hit Broadway musicals, including Hello, Dolly! and Mame.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0367743508190bae211e9ce8f9690 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e399f2ec81908e2e38b9fbf8b56a |
completed | March 27, 2026, 1:55 a.m. |
Created at: March 22, 2026, 3:57 p.m.