Triple
T13020458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Walsh |
E326156
|
entity |
| Predicate | hasSpouse |
P13
|
FINISHED |
| Object |
Morgan Walsh
Morgan Walsh is an American actress and writer known for her work in film and television and for being married to comedian and actor Matt Walsh.
|
E1020677
|
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: Morgan Walsh | Statement: [Matt Walsh, hasSpouse, Morgan Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgan Walsh Context triple: [Matt Walsh, hasSpouse, Morgan Walsh]
-
A.
Morgan O'Neill
Morgan O'Neill is an Australian filmmaker, writer, and producer known for his work in film and television, including serving as an executive producer on NCIS: Sydney.
-
B.
Morgan O’Sullivan
Morgan O’Sullivan is an Irish film and television producer known for his work on major historical drama series and international co-productions.
-
C.
Morgan O'Mally
Morgan O'Mally is a close friend of Will Hunting in the film "Good Will Hunting," known as one of the loyal South Boston buddies in his social circle.
-
D.
Morgan McCourt
Morgan McCourt is one of the children of Pulitzer Prize–winning Irish-American author Frank McCourt.
-
E.
Morgan Wallace
Morgan Wallace was an American character actor active in early 20th-century film and theater, often appearing in supporting and villainous roles in silent and early sound movies.
- 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: Morgan Walsh Triple: [Matt Walsh, hasSpouse, Morgan Walsh]
Generated description
Morgan Walsh is an American actress and writer known for her work in film and television and for being married to comedian and actor Matt Walsh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgan Walsh Target entity description: Morgan Walsh is an American actress and writer known for her work in film and television and for being married to comedian and actor Matt Walsh.
-
A.
Morgan O'Neill
Morgan O'Neill is an Australian filmmaker, writer, and producer known for his work in film and television, including serving as an executive producer on NCIS: Sydney.
-
B.
Morgan O’Sullivan
Morgan O’Sullivan is an Irish film and television producer known for his work on major historical drama series and international co-productions.
-
C.
Morgan O'Mally
Morgan O'Mally is a close friend of Will Hunting in the film "Good Will Hunting," known as one of the loyal South Boston buddies in his social circle.
-
D.
Morgan McCourt
Morgan McCourt is one of the children of Pulitzer Prize–winning Irish-American author Frank McCourt.
-
E.
Morgan Wallace
Morgan Wallace was an American character actor active in early 20th-century film and theater, often appearing in supporting and villainous roles in silent and early sound movies.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f861188190892b4d693395cc5e |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d943a80c81909bc39b9a9ef303bd |
completed | May 3, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6da1e56388190b536831b2c6d493f |
completed | May 3, 2026, 5:16 a.m. |
Created at: April 9, 2026, 8:51 p.m.