Triple
T1030837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southeast Michigan |
E22246
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Warren
Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
|
E135327
|
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: Warren | Statement: [Southeast Michigan, majorCity, Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warren Context triple: [Southeast Michigan, majorCity, Warren]
-
A.
Warren
Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
-
B.
Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
-
C.
Marshall
Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
-
D.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
-
E.
Tarkington
Tarkington is the surname of Booth Tarkington, the American novelist and dramatist known for works such as "The Magnificent Ambersons" and "Alice Adams."
- 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: Warren Triple: [Southeast Michigan, majorCity, Warren]
Generated description
Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warren Target entity description: Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
-
A.
Warren
Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
-
B.
Warren
Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
-
C.
Marshall
Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
-
D.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
-
E.
Tarkington
Tarkington is the surname of Booth Tarkington, the American novelist and dramatist known for works such as "The Magnificent Ambersons" and "Alice Adams."
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b810429081908a97014ca740824b |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6f0781e08190bbfd5fad2b122150 |
completed | March 7, 2026, 6:31 p.m. |
| NEDg | Description generation | batch_69ac7014d7e08190ba19d67beff96756 |
completed | March 7, 2026, 6:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac707f31408190b8febc2f52d396c4 |
completed | March 7, 2026, 6:37 p.m. |
Created at: March 1, 2026, 7:41 p.m.