Triple
T21955821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lullaby of Broadway |
E542183
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Harry Warren |
—
|
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: Harry Warren | Statement: [Lullaby of Broadway, composer, Harry Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Warren Context triple: [Lullaby of Broadway, composer, Harry Warren]
-
A.
Harry Warren
chosen
Harry Warren was a prolific American composer best known for his popular film and Broadway songs, including numerous Hollywood standards from the 1930s and 1940s.
-
B.
Howard Lindsay
Howard Lindsay was an American playwright, librettist, and actor best known for his prolific Broadway collaborations, including co-writing the book for the musical "The Sound of Music."
-
C.
Roy Sharman
Roy Sharman is a film editor known for his work on the 2003 adaptation of "I Capture the Castle."
-
D.
Jerry Wald
Jerry Wald was an American film producer and screenwriter known for his influential work in Hollywood during the 1930s–1950s, including several acclaimed dramas and film noirs.
-
E.
Alfred Sweeney
Alfred Sweeney was a film art director known for his production design work on mid-20th-century movies.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124404f38819080bae736a52a51cd |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:59 p.m.