Triple
T9725189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garden City, Michigan |
E235589
|
entity |
| Predicate | mayor |
P185
|
FINISHED |
| Object |
Mark Jacobs
Mark Jacobs is an American local politician who has served as the mayor of Garden City, Michigan.
|
E816263
|
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: Mark Jacobs | Statement: [Garden City, Michigan, mayor, Mark Jacobs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Jacobs Context triple: [Garden City, Michigan, mayor, Mark Jacobs]
-
A.
Jeff Jacobs
Jeff Jacobs is a musician best known as a former keyboardist for the British-American rock band Foreigner.
-
B.
Jeremy Jacobs
Jeremy Jacobs is an American billionaire businessman and longtime owner of the NHL’s Boston Bruins, known for his influential role in professional hockey and sports venue management.
-
C.
Frank Jacobs
Frank Jacobs was a prominent American humorist and satirist best known for his prolific, pun-filled song parodies and articles in Mad magazine.
-
D.
David Jacobs
David Jacobs is an American television writer and producer best known for creating the prime-time soap operas "Knots Landing" and co-creating "Dallas."
-
E.
Richard Jacobs
Richard Jacobs was a notable figure significant enough to have the venue "The Jake" named in his honor, likely for his contributions or prominence in a related field or community.
- 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: Mark Jacobs Triple: [Garden City, Michigan, mayor, Mark Jacobs]
Generated description
Mark Jacobs is an American local politician who has served as the mayor of Garden City, Michigan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Jacobs Target entity description: Mark Jacobs is an American local politician who has served as the mayor of Garden City, Michigan.
-
A.
Jeff Jacobs
Jeff Jacobs is a musician best known as a former keyboardist for the British-American rock band Foreigner.
-
B.
Jeremy Jacobs
Jeremy Jacobs is an American billionaire businessman and longtime owner of the NHL’s Boston Bruins, known for his influential role in professional hockey and sports venue management.
-
C.
Frank Jacobs
Frank Jacobs was a prominent American humorist and satirist best known for his prolific, pun-filled song parodies and articles in Mad magazine.
-
D.
David Jacobs
David Jacobs is an American television writer and producer best known for creating the prime-time soap operas "Knots Landing" and co-creating "Dallas."
-
E.
Richard Jacobs
Richard Jacobs was a notable figure significant enough to have the venue "The Jake" named in his honor, likely for his contributions or prominence in a related field or community.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7838448190a7b5b259765a0d95 |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fadc2948190b405fb7f249b82aa |
completed | April 4, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69d1a0988f00819094b5fe6e4d328688 |
completed | April 4, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0f811fc8190b6a46a0441159089 |
completed | April 4, 2026, 11:38 p.m. |
Created at: March 30, 2026, 8:21 p.m.