Triple
T18290208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby on Baby |
E438090
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Smash David |
—
|
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: Smash David | Statement: [Baby on Baby, producer, Smash David]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smash David Context triple: [Baby on Baby, producer, Smash David]
-
A.
Smash David
chosen
Smash David is an American record producer and songwriter known for crafting hip-hop and R&B hits for major artists.
-
B.
Smash
Smash is an American musical drama television series that follows the creation of a Broadway show about Marilyn Monroe, featuring Jennifer Hudson in a prominent role.
-
C.
Smash
Smash is a stage play by Jason Grote that reimagines George Bernard Shaw’s "Man and Superman" through a contemporary, satirical lens.
-
D.
Smash
Smash is a 1994 punk rock album by The Offspring that became a breakthrough commercial success and a defining record of 1990s punk.
-
E.
Smash (novel)
Smash is a satirical novel by Garson Kanin that offers a behind-the-scenes look at the chaotic world of mounting a Broadway musical.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fd65888190afdbb29dc60066af |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.