Triple
T20019112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devine |
E494801
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Megan Devine
Megan Devine is a psychotherapist, grief advocate, and author best known for her book "It's OK That You're Not OK" and her work reshaping how we understand and support people in grief.
|
E1436711
|
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: Megan Devine | Statement: [Devine, hasNotableBearer, Megan Devine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Devine Context triple: [Devine, hasNotableBearer, Megan Devine]
-
A.
Megan McClure
Megan McClure is an American volleyball player best known as a standout outside hitter for Stanford University's powerhouse women's volleyball program.
-
B.
Megan Gill
Megan Gill is a film editor best known for her work on major feature films, including the superhero movie "X-Men Origins: Wolverine."
-
C.
Megan Holley
Megan Holley is an American screenwriter best known for writing the indie dramedy film "Sunshine Cleaning."
-
D.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
E.
Megan Terry
Megan Terry is an influential American playwright and pioneer of feminist and experimental theatre, best known for works like "Viet 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: Megan Devine Triple: [Devine, hasNotableBearer, Megan Devine]
Generated description
Megan Devine is a psychotherapist, grief advocate, and author best known for her book "It's OK That You're Not OK" and her work reshaping how we understand and support people in grief.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Megan Devine Target entity description: Megan Devine is a psychotherapist, grief advocate, and author best known for her book "It's OK That You're Not OK" and her work reshaping how we understand and support people in grief.
-
A.
Megan McClure
Megan McClure is an American volleyball player best known as a standout outside hitter for Stanford University's powerhouse women's volleyball program.
-
B.
Megan Gill
Megan Gill is a film editor best known for her work on major feature films, including the superhero movie "X-Men Origins: Wolverine."
-
C.
Megan Holley
Megan Holley is an American screenwriter best known for writing the indie dramedy film "Sunshine Cleaning."
-
D.
Megan Morgan
Megan Morgan is a character from the 1988 sci-fi horror comedy film "Critters 2: The Main Course."
-
E.
Megan Terry
Megan Terry is an influential American playwright and pioneer of feminist and experimental theatre, best known for works like "Viet 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623e40748190b1abb0ead9acab4e |
completed | April 20, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a5472558819086087f605a30100f |
completed | May 16, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_6a08a6799f2081909a1c2c1088ca4908 |
completed | May 16, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a7204e888190b3541c359e17e599 |
completed | May 16, 2026, 5:19 p.m. |
Created at: April 11, 2026, 3:34 p.m.