Triple
T9603720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark, California |
E231916
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Michael K. Hannon
Michael K. Hannon is an American local politician who served as the mayor of Newark, California.
|
E842970
|
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 K. Hannon | Statement: [Newark, California, mayor, Michael K. Hannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael K. Hannon Context triple: [Newark, California, mayor, Michael K. Hannon]
-
A.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
B.
Michael McDonough
Michael McDonough is a cinematographer known for his work on independent and feature films, including the drama "Darling Companion."
-
C.
Michael N. Hurley
Michael N. Hurley is a former CIA operations officer and counterterrorism expert known for his work on U.S. national security and intelligence issues.
-
D.
Michael T. Hurley
Michael T. Hurley is a notable individual recognized for achievements or prominence associated with the surname Hurley.
-
E.
Michael P. Cahill
Michael P. Cahill is an American local politician who has served as the mayor of Beverly, Massachusetts.
- 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 K. Hannon Triple: [Newark, California, mayor, Michael K. Hannon]
Generated description
Michael K. Hannon is an American local politician who served as the mayor of Newark, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael K. Hannon Target entity description: Michael K. Hannon is an American local politician who served as the mayor of Newark, California.
-
A.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
B.
Michael McDonough
Michael McDonough is a cinematographer known for his work on independent and feature films, including the drama "Darling Companion."
-
C.
Michael N. Hurley
Michael N. Hurley is a former CIA operations officer and counterterrorism expert known for his work on U.S. national security and intelligence issues.
-
D.
Michael T. Hurley
Michael T. Hurley is a notable individual recognized for achievements or prominence associated with the surname Hurley.
-
E.
Michael P. Cahill
Michael P. Cahill is an American local politician who has served as the mayor of Beverly, Massachusetts.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a5cddf481909aa6b589bcb3e71a |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cb2aaef481908a7be61bbfc3b008 |
completed | April 5, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69d2cd242ed8819097895cb15cbb5d47 |
completed | April 5, 2026, 8:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2d1204f008190a9349c071c1e8d19 |
completed | April 5, 2026, 9:16 p.m. |
Created at: March 30, 2026, 8:08 p.m.