Triple
T1884209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Harvey |
E39923
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Harvey
Harvey is a common English surname of Old French origin, often associated with the given name Harvey and borne by various notable individuals.
|
E209494
|
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: Harvey | Statement: [George Harvey, familyName, Harvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harvey Context triple: [George Harvey, familyName, Harvey]
-
A.
Harvey
Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
-
B.
Harvey
Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
-
C.
Harvey
Harvey is a classic 1950 American comedy film in which James Stewart plays a genial man whose best friend is an invisible six-foot-tall rabbit.
-
D.
Elwood Mead
Elwood Mead was an American engineer and public official who served as U.S. Commissioner of Reclamation and oversaw major Western water projects, including the development associated with Hoover Dam.
-
E.
Butler
Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
- 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: Harvey Triple: [George Harvey, familyName, Harvey]
Generated description
Harvey is a common English surname of Old French origin, often associated with the given name Harvey and borne by various notable individuals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harvey Target entity description: Harvey is a common English surname of Old French origin, often associated with the given name Harvey and borne by various notable individuals.
-
A.
Harvey
Harvey is a botanist and taxonomist known for formally describing the plant genus Romneya.
-
B.
Harvey
Harvey is a classic 1950 American comedy film in which James Stewart plays a genial man whose best friend is an invisible six-foot-tall rabbit.
-
C.
Harvey
Harvey is the middle name of Lee Harvey Oswald, the alleged assassin of U.S. President John F. Kennedy.
-
D.
Elwood Mead
Elwood Mead was an American engineer and public official who served as U.S. Commissioner of Reclamation and oversaw major Western water projects, including the development associated with Hoover Dam.
-
E.
Butler
Butler is a city in Pennsylvania that serves as the administrative and economic center of Butler County.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb11d3cd48190bbd3ef2cf62e0dff |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf61413081909c0e840590aaf631 |
completed | March 8, 2026, 8:43 p.m. |
| NEDg | Description generation | batch_69addfcecdf48190a325eb5c8b10f238 |
completed | March 8, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade0ba34ac8190ac94f7dbb5778f70 |
completed | March 8, 2026, 8:48 p.m. |
Created at: March 4, 2026, 7:34 p.m.