Triple
T7762858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Strouse |
E176068
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Charles Strouse |
E176068
|
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: Charles Strouse | Statement: [Charles Strouse, name, Charles Strouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Strouse Context triple: [Charles Strouse, name, Charles Strouse]
-
A.
Charles Strouse
chosen
Charles Strouse is an American composer best known for his Broadway musical scores, including the music for "Annie," "Bye Bye Birdie," and "Applause."
-
B.
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.
-
C.
Mack David
Mack David was an American lyricist and songwriter known for his popular song adaptations and contributions to film and television music.
-
D.
Carl Sigman
Carl Sigman was an American songwriter and lyricist known for penning the words to numerous popular standards across mid-20th-century music.
-
E.
Jule Styne
Jule Styne was a prolific American composer best known for his Broadway and film musical scores, including classics like "Gypsy" and "Funny Girl."
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704061d1881909b5b42bb93d2b8a7 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9c2e6b2e88190be579a15109d4f82 |
completed | March 30, 2026, 12:25 a.m. |
Created at: March 27, 2026, 4:09 p.m.