Triple
T14938836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Loves Me |
E372467
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Jerry Bock |
E268005
|
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: Jerry Bock | Statement: [She Loves Me, composer, Jerry Bock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Bock Context triple: [She Loves Me, composer, Jerry Bock]
-
A.
Jerry Bock
chosen
Jerry Bock was an American musical theatre composer best known for his Tony Award-winning score for the landmark Broadway musical "Fiddler on the Roof."
-
B.
Carl Sigman
Carl Sigman was an American songwriter and lyricist known for penning the words to numerous popular standards across mid-20th-century music.
-
C.
Milton Gabler
Milton Gabler was an influential American record producer and songwriter known for his pioneering work in jazz and early rock and roll, including producing hits for artists like Billie Holiday and Bill Haley & His Comets.
-
D.
Mack Gordon
Mack Gordon was an American lyricist and songwriter renowned for crafting numerous popular standards for film and stage during the 1930s and 1940s.
-
E.
Jud Ashman
Jud Ashman is an American local politician who serves as the mayor of Gaithersburg, Maryland.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31a49d88190a200c427fe02616f |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 2:38 a.m.