Triple
T1428708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Davenport |
E30393
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Davenport
Davenport is an English surname of Norman origin that has been borne by various notable figures in mathematics, politics, and the arts.
|
E163259
|
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: Davenport | Statement: [Harold Davenport, familyName, Davenport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davenport Context triple: [Harold Davenport, familyName, Davenport]
-
A.
Davenport, Iowa
Davenport, Iowa is a major city along the Mississippi River in eastern Iowa, known as part of the Quad Cities metropolitan area and a regional hub for commerce and culture.
-
B.
Cedar Rapids
Cedar Rapids is a 2011 American comedy film starring Ed Helms as a naive insurance agent navigating unexpected misadventures at a regional conference in Iowa.
-
C.
Dubuque
Dubuque is a historic river city in northeastern Iowa known for its role as a regional economic and cultural hub along the Mississippi River.
-
D.
Delano
Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
-
E.
Delano
Delano is a small agricultural city in California’s Central Valley known for its table grape production and historic role in the farm labor movement.
- 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: Davenport Triple: [Harold Davenport, familyName, Davenport]
Generated description
Davenport is an English surname of Norman origin that has been borne by various notable figures in mathematics, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Davenport Target entity description: Davenport is an English surname of Norman origin that has been borne by various notable figures in mathematics, politics, and the arts.
-
A.
Davenport, Iowa
Davenport, Iowa is a major city along the Mississippi River in eastern Iowa, known as part of the Quad Cities metropolitan area and a regional hub for commerce and culture.
-
B.
Cedar Rapids
Cedar Rapids is a 2011 American comedy film starring Ed Helms as a naive insurance agent navigating unexpected misadventures at a regional conference in Iowa.
-
C.
Dubuque
Dubuque is a historic river city in northeastern Iowa known for its role as a regional economic and cultural hub along the Mississippi River.
-
D.
Delano
Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
-
E.
Delano
Delano is a small agricultural city in California’s Central Valley known for its table grape production and historic role in the farm labor movement.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c4d9575881908bb58598e5a80590 |
completed | March 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad016930ec8190ab3900d6f40c4aa0 |
completed | March 8, 2026, 4:56 a.m. |
| NEDg | Description generation | batch_69ad01d1c01c81908917c4837ed2b393 |
completed | March 8, 2026, 4:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0265f610819085a2dd293abd4812 |
completed | March 8, 2026, 5 a.m. |
Created at: March 1, 2026, 8 p.m.