Triple
T16810561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Nanny |
E408596
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Stephen L. Bloom
Stephen L. Bloom is a film producer best known for his work on the 1993 family comedy "Mr. Nanny" starring Hulk Hogan.
|
E1432635
|
NE FINISHED |
How this triple was built (4 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: Stephen L. Bloom | Statement: [Mr. Nanny, producer, Stephen L. Bloom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen L. Bloom Context triple: [Mr. Nanny, producer, Stephen L. Bloom]
-
A.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
-
B.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
C.
Douglas Meyer
Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
-
D.
Stephen Bloom
Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
-
E.
Stephen Bloom
Stephen Bloom is a member of the Bloom brothers, a group known collectively by their shared family name.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stephen L. Bloom Triple: [Mr. Nanny, producer, Stephen L. Bloom]
Generated description
Stephen L. Bloom is a film producer best known for his work on the 1993 family comedy "Mr. Nanny" starring Hulk Hogan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen L. Bloom Target entity description: Stephen L. Bloom is a film producer best known for his work on the 1993 family comedy "Mr. Nanny" starring Hulk Hogan.
-
A.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
-
B.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
C.
Douglas Meyer
Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
-
D.
Stephen Bloom
Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
-
E.
Stephen Bloom
Stephen Bloom is a member of the Bloom brothers, a group known collectively by their shared family name.
- F. None of above. chosen
Provenance (5 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cf680c8190bcd640570c524918 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088af613dc81908d346f4df93f05fa |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c0f55348190b33ab62ed033ed39 |
completed | May 16, 2026, 3:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088d00188c8190bb8da973f31b1e47 |
completed | May 16, 2026, 3:28 p.m. |
Created at: April 10, 2026, 5:23 a.m.