Triple
T16633877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxanne Hart |
E404147
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Leonard Soloway
Leonard Soloway is a prominent American theater producer known for bringing numerous plays and musicals to Broadway.
|
E1224126
|
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: Leonard Soloway | Statement: [Roxanne Hart, spouse, Leonard Soloway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonard Soloway Context triple: [Roxanne Hart, spouse, Leonard Soloway]
-
A.
Glen Wexler
Glen Wexler is an American photographer and digital imaging pioneer best known for his imaginative, surreal album covers and advertising work.
-
B.
Michael Sokolove
Michael Sokolove is an American journalist and nonfiction author known for his in-depth sports and cultural reporting and narrative books.
-
C.
Richard Sokolove
Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
-
D.
Paul Vogel
Paul Vogel was an American cinematographer best known for his work on classic Hollywood films, including the Oscar-winning "Battleground."
-
E.
Sam Levenson
Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
- 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: Leonard Soloway Triple: [Roxanne Hart, spouse, Leonard Soloway]
Generated description
Leonard Soloway is a prominent American theater producer known for bringing numerous plays and musicals to Broadway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leonard Soloway Target entity description: Leonard Soloway is a prominent American theater producer known for bringing numerous plays and musicals to Broadway.
-
A.
Glen Wexler
Glen Wexler is an American photographer and digital imaging pioneer best known for his imaginative, surreal album covers and advertising work.
-
B.
Michael Sokolove
Michael Sokolove is an American journalist and nonfiction author known for his in-depth sports and cultural reporting and narrative books.
-
C.
Richard Sokolove
Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
-
D.
Paul Vogel
Paul Vogel was an American cinematographer best known for his work on classic Hollywood films, including the Oscar-winning "Battleground."
-
E.
Sam Levenson
Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e7d4a48190a9b4a14ecbb2a14b |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc05bd881909c6b2e0d95622aa1 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e1909b88190ad2587b5d5433e2e |
completed | May 10, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007eda229c8190a6b99400141cf0b6 |
completed | May 10, 2026, 12:49 p.m. |
Created at: April 10, 2026, 5:17 a.m.