Triple
T19648230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morris Hillquit |
E471736
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Morris
Morris is a masculine given name of English origin that is derived from the Latin name Mauritius, meaning "dark-skinned" or "Moorish."
|
E1291670
|
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: Morris | Statement: [Morris Hillquit, givenName, Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morris Context triple: [Morris Hillquit, givenName, Morris]
-
A.
Morris
Morris is the given first name of Moe Berg, the American Major League Baseball catcher who later became a World War II intelligence officer.
-
B.
Morris
Morris is a common English-language surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
C.
Morris
Morris was a Belgian cartoonist best known as the co-creator and artist of the popular Western comic series "Lucky Luke."
-
D.
Morris
Morris is a historic British automobile marque best known for popular mass-market cars produced throughout the 20th century.
-
E.
Morris
Morris is the given first name of M. Peter McPherson, an American academic administrator and former president of Michigan State University.
- 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: Morris Triple: [Morris Hillquit, givenName, Morris]
Generated description
Morris is a masculine given name of English origin that is derived from the Latin name Mauritius, meaning "dark-skinned" or "Moorish."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morris Target entity description: Morris is a masculine given name of English origin that is derived from the Latin name Mauritius, meaning "dark-skinned" or "Moorish."
-
A.
Morris
chosen
Morris is a masculine given name of English origin that has been borne by various notable figures in fields such as politics, arts, and entertainment.
-
B.
Morris
Morris is a common English-language surname borne by numerous notable figures in politics, arts, sports, and other fields.
-
C.
Morris
Morris is the given first name of Moe Berg, the American Major League Baseball catcher who later became a World War II intelligence officer.
-
D.
Morris
Morris is the given first name of M. Peter McPherson, an American academic administrator and former president of Michigan State University.
-
E.
Morris
Morris is a historic British automobile marque best known for popular mass-market cars produced throughout the 20th century.
- F. None of above.
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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64126cea88190a1a6929f46de4686 |
completed | April 20, 2026, 3:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077eeced6881909429563193fd71d1 |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a0783867f148190aaca0d1522689e3c |
completed | May 15, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0784a7dba88190857275f577b5cc7c |
completed | May 15, 2026, 8:40 p.m. |
Created at: April 10, 2026, 1:44 p.m.