Triple
T4763708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walsh |
E105757
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Walsh
Michael Walsh is a common personal name shared by numerous individuals across various fields such as politics, sports, literature, and entertainment.
|
E476612
|
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: Michael Walsh | Statement: [Walsh, hasNotableBearer, Michael Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Walsh Context triple: [Walsh, hasNotableBearer, Michael Walsh]
-
A.
Patrick Walsh
Patrick Walsh is a relatively common Irish-derived personal name shared by various notable individuals across fields such as politics, sports, and the arts.
-
B.
Michael Mahoney
Michael Mahoney is a television producer best known for his executive production work on the period crime drama miniseries "The Lizzie Borden Chronicles."
-
C.
Michael Kelly
Michael Kelly is an American actor best known for his role as Doug Stamper on the political drama series "House of Cards."
-
D.
Michael Kelly
Michael Kelly is a film editor best known for his work on the animated feature "The Rescuers Down Under."
-
E.
James T. Walsh
James T. Walsh is an American Republican politician who represented a central New York district in the U.S. House of Representatives for two decades.
- 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: Michael Walsh Triple: [Walsh, hasNotableBearer, Michael Walsh]
Generated description
Michael Walsh is a common personal name shared by numerous individuals across various fields such as politics, sports, literature, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Walsh Target entity description: Michael Walsh is a common personal name shared by numerous individuals across various fields such as politics, sports, literature, and entertainment.
-
A.
Patrick Walsh
Patrick Walsh is a relatively common Irish-derived personal name shared by various notable individuals across fields such as politics, sports, and the arts.
-
B.
Michael Mahoney
Michael Mahoney is a television producer best known for his executive production work on the period crime drama miniseries "The Lizzie Borden Chronicles."
-
C.
Michael Kelly
Michael Kelly is a film editor best known for his work on the animated feature "The Rescuers Down Under."
-
D.
Michael Kelly
Michael Kelly is an American actor best known for his role as Doug Stamper on the political drama series "House of Cards."
-
E.
James T. Walsh
James T. Walsh is an American Republican politician who represented a central New York district in the U.S. House of Representatives for two decades.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6530f0648190b76db9964471cfeb |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67c17eac8190bde930228a0f599a |
completed | March 21, 2026, 9:41 a.m. |
| NEDg | Description generation | batch_69be6864608c8190af22cc3ed949e1b9 |
completed | March 21, 2026, 9:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be68e5b4e88190b7cd53d495f18a0f |
completed | March 21, 2026, 9:46 a.m. |
Created at: March 20, 2026, 1:20 p.m.