Triple
T16124744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Lynn |
E391237
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Maggie Lynn
Maggie Lynn is known as the spouse of American film and stage actor Jeffrey Lynn.
|
E1204695
|
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: Maggie Lynn | Statement: [Jeffrey Lynn, spouse, Maggie Lynn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggie Lynn Context triple: [Jeffrey Lynn, spouse, Maggie Lynn]
-
A.
Maggie Mull
Maggie Mull is an American television writer and producer known for her work on comedy series such as "Life in Pieces" and "Family Guy."
-
B.
Maggie Hardin
Maggie Hardin is the idealistic, well-meaning protagonist of the romantic comedy film "Maggie’s Plan," whose attempts to carefully orchestrate her personal life lead to unexpected complications.
-
C.
Maggie Jordan
Maggie Jordan is a young, idealistic associate producer whose professional growth and personal relationships are central to the narrative of the television series "The Newsroom."
-
D.
Maggie Wheeler
Maggie Wheeler is an American actress best known for her recurring role as Janice on the television sitcom "Friends."
-
E.
Maggie Weston
Maggie Weston is a British makeup artist and costume designer best known for her long-term collaboration with filmmaker Terry Gilliam on several of his visually distinctive films.
- 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: Maggie Lynn Triple: [Jeffrey Lynn, spouse, Maggie Lynn]
Generated description
Maggie Lynn is known as the spouse of American film and stage actor Jeffrey Lynn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maggie Lynn Target entity description: Maggie Lynn is known as the spouse of American film and stage actor Jeffrey Lynn.
-
A.
Maggie Mull
Maggie Mull is an American television writer and producer known for her work on comedy series such as "Life in Pieces" and "Family Guy."
-
B.
Maggie Hardin
Maggie Hardin is the idealistic, well-meaning protagonist of the romantic comedy film "Maggie’s Plan," whose attempts to carefully orchestrate her personal life lead to unexpected complications.
-
C.
Maggie Jordan
Maggie Jordan is a young, idealistic associate producer whose professional growth and personal relationships are central to the narrative of the television series "The Newsroom."
-
D.
Maggie Wheeler
Maggie Wheeler is an American actress best known for her recurring role as Janice on the television sitcom "Friends."
-
E.
Maggie Weston
Maggie Weston is a British makeup artist and costume designer best known for her long-term collaboration with filmmaker Terry Gilliam on several of his visually distinctive films.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020408a88190bf3dfc893d577c55 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a2576c8190b5ad8cc7f9ced351 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0019acf8348190be7e30d9e97bea98 |
completed | May 10, 2026, 5:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001a5ee5d88190ae5205082fc57317 |
completed | May 10, 2026, 5:40 a.m. |
Created at: April 10, 2026, 5 a.m.