Triple
T15674086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Johansen |
E377390
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Mara Hennessey
Mara Hennessey is best known as the wife of American singer and actor David Johansen, the frontman of the New York Dolls.
|
E1348657
|
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: Mara Hennessey | Statement: [David Johansen, spouse, Mara Hennessey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mara Hennessey Context triple: [David Johansen, spouse, Mara Hennessey]
-
A.
Megan McCloskey
Megan McCloskey is an American journalist known for her investigative reporting, particularly on military and veterans’ issues.
-
B.
Kate Hennessy
Kate Hennessy is an American writer and the granddaughter of Catholic social activist Dorothy Day, known for her memoirs and work chronicling her family’s legacy.
-
C.
Rebecca McGuinness
Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
-
D.
Marcy Lafferty
Marcy Lafferty is an American actress and producer best known for her work in film and television during the 1970s and 1980s.
-
E.
Meg Haston
Meg Haston is an American author best known for her middle-grade and young adult novels, including the book that inspired the Nickelodeon television series "How to Rock."
- 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: Mara Hennessey Triple: [David Johansen, spouse, Mara Hennessey]
Generated description
Mara Hennessey is best known as the wife of American singer and actor David Johansen, the frontman of the New York Dolls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mara Hennessey Target entity description: Mara Hennessey is best known as the wife of American singer and actor David Johansen, the frontman of the New York Dolls.
-
A.
Megan McCloskey
Megan McCloskey is an American journalist known for her investigative reporting, particularly on military and veterans’ issues.
-
B.
Kate Hennessy
Kate Hennessy is an American writer and the granddaughter of Catholic social activist Dorothy Day, known for her memoirs and work chronicling her family’s legacy.
-
C.
Rebecca McGuinness
Rebecca McGuinness is known as the wife of renowned English motorcycle road racer John McGuinness.
-
D.
Marcy Lafferty
Marcy Lafferty is an American actress and producer best known for her work in film and television during the 1970s and 1980s.
-
E.
Meg Haston
Meg Haston is an American author best known for her middle-grade and young adult novels, including the book that inspired the Nickelodeon television series "How to Rock."
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a058296efe481908e5a19acc0d0b738 |
completed | May 14, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a05866776d881909723e694ab9a8674 |
completed | May 14, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0586f85a448190becf166dbc584a1f |
completed | May 14, 2026, 8:25 a.m. |
Created at: April 10, 2026, 4:16 a.m.