Triple
T14955639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Koechner |
E372916
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Leigh Koechner
Leigh Koechner is an American writer, speaker, and mindfulness coach known for her work in personal development and for her former marriage to actor-comedian David Koechner.
|
E1128107
|
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: Leigh Koechner | Statement: [David Koechner, spouse, Leigh Koechner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leigh Koechner Context triple: [David Koechner, spouse, Leigh Koechner]
-
A.
Jean Weigle
Jean Weigle was a Swiss-born physicist and molecular biologist known for his pioneering work on bacteriophages and contributions to the early development of molecular genetics.
-
B.
Adrienne Keith
Adrienne Keith is known as the spouse of British scientist, author, and television presenter Adam Hart-Davis.
-
C.
Bonnie Koehler
Bonnie Koehler is a film editor best known for her work on the 1995 adaptation of "Freaky Friday."
-
D.
Bonnie Koehler
Bonnie Koehler is an editor known for her work on the film "Beethoven's 2nd."
-
E.
Kerry Ehrin
Kerry Ehrin is an American television writer and producer best known for her work on acclaimed series such as Bates Motel and The Morning Show.
- 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: Leigh Koechner Triple: [David Koechner, spouse, Leigh Koechner]
Generated description
Leigh Koechner is an American writer, speaker, and mindfulness coach known for her work in personal development and for her former marriage to actor-comedian David Koechner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leigh Koechner Target entity description: Leigh Koechner is an American writer, speaker, and mindfulness coach known for her work in personal development and for her former marriage to actor-comedian David Koechner.
-
A.
Jean Weigle
Jean Weigle was a Swiss-born physicist and molecular biologist known for his pioneering work on bacteriophages and contributions to the early development of molecular genetics.
-
B.
Adrienne Keith
Adrienne Keith is known as the spouse of British scientist, author, and television presenter Adam Hart-Davis.
-
C.
Bonnie Koehler
Bonnie Koehler is a film editor best known for her work on the 1995 adaptation of "Freaky Friday."
-
D.
Bonnie Koehler
Bonnie Koehler is an editor known for her work on the film "Beethoven's 2nd."
-
E.
Kerry Ehrin
Kerry Ehrin is an American television writer and producer best known for her work on acclaimed series such as Bates Motel and The Morning Show.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9c71cc8190aff9165a6f97981a |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe814659fc8190b1ddc30187d344e4 |
completed | May 9, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe81a932b48190a483815d2350c3a4 |
completed | May 9, 2026, 12:36 a.m. |
Created at: April 10, 2026, 2:40 a.m.