Triple
T16810564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Nanny |
E408596
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Jeffrey Abelson
Jeffrey Abelson is a screenwriter best known for his work on the family comedy film "Mr. Nanny."
|
E1283125
|
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: Jeffrey Abelson | Statement: [Mr. Nanny, writer, Jeffrey Abelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Abelson Context triple: [Mr. Nanny, writer, Jeffrey Abelson]
-
A.
Paul S. Rosenbloom
Paul S. Rosenbloom is a computer scientist and cognitive scientist known for his foundational work in cognitive architectures and artificial intelligence.
-
B.
Lawrence Rosen
Lawrence Rosen is an American attorney and open source advocate known for his influential work on software licensing, including drafting widely used open source licenses.
-
C.
Gregory H. Shapiro
Gregory H. Shapiro is an American film producer known for his work on critically acclaimed dramas and independent films, including the Oscar-winning "The Hurt Locker."
-
D.
Tony Seltzer
Tony Seltzer is a New York-based hip-hop producer known for his work in the underground rap scene and collaborations with a wide range of contemporary rappers.
-
E.
Ken F. Levin
Ken F. Levin is a television and film producer best known for his executive production work on the hit superhero series "The Boys."
- 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: Jeffrey Abelson Triple: [Mr. Nanny, writer, Jeffrey Abelson]
Generated description
Jeffrey Abelson is a screenwriter best known for his work on the family comedy film "Mr. Nanny."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Abelson Target entity description: Jeffrey Abelson is a screenwriter best known for his work on the family comedy film "Mr. Nanny."
-
A.
Paul S. Rosenbloom
Paul S. Rosenbloom is a computer scientist and cognitive scientist known for his foundational work in cognitive architectures and artificial intelligence.
-
B.
Lawrence Rosen
Lawrence Rosen is an American attorney and open source advocate known for his influential work on software licensing, including drafting widely used open source licenses.
-
C.
Gregory H. Shapiro
Gregory H. Shapiro is an American film producer known for his work on critically acclaimed dramas and independent films, including the Oscar-winning "The Hurt Locker."
-
D.
Tony Seltzer
Tony Seltzer is a New York-based hip-hop producer known for his work in the underground rap scene and collaborations with a wide range of contemporary rappers.
-
E.
Ken F. Levin
Ken F. Levin is a television and film producer best known for his executive production work on the hit superhero series "The Boys."
- 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_6a02230ba38c819092134b16e522b67e |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a022917326c81909fe6bf14f432109c |
completed | May 11, 2026, 7:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a022946053c8190a5e254704e30048d |
completed | May 11, 2026, 7:08 p.m. |
Created at: April 10, 2026, 5:23 a.m.