Triple
T8556911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Grover Cleveland |
E202592
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Francis
Francis is a given name commonly used as a masculine first name in English-speaking countries, derived from the Latin name Franciscus.
|
E293255
|
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: Francis | Statement: [Francis Grover Cleveland, givenName, Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Context triple: [Francis Grover Cleveland, givenName, Francis]
-
A.
Francis
Francis is the given first name of legendary Los Angeles Lakers play-by-play announcer Chick Hearn.
-
B.
Francis
Francis is the middle name of American seismologist Charles Francis Richter, best known for creating the Richter magnitude scale for measuring earthquakes.
-
C.
Francis
Francis is the given first name of Canadian ice hockey player and Hall of Famer King Clancy.
-
D.
Francis
Francis was a German nobleman who served as Duke of Saxe-Coburg-Saalfeld in the late 18th and early 19th centuries.
-
E.
Francis
Francis is the given name of X. Atencio, the Disney animator and Imagineer known for his work on attractions like Pirates of the Caribbean and The Haunted Mansion.
- 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: Francis Triple: [Francis Grover Cleveland, givenName, Francis]
Generated description
Francis is a given name commonly used as a masculine first name in English-speaking countries, derived from the Latin name Franciscus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francis Target entity description: Francis is a given name commonly used as a masculine first name in English-speaking countries, derived from the Latin name Franciscus.
-
A.
Francis
chosen
Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and associated with figures such as Saint Francis of Assisi and numerous historical and contemporary personalities.
-
B.
Francis
Francis is a common English surname of Latin origin, historically associated with people from France or those bearing the given name Francis.
-
C.
Francis
Francis is the given first name of Scottish former professional footballer Frank McAvennie.
-
D.
Francis
Francis is the papal name of the current head of the Roman Catholic Church, known for his emphasis on humility, social justice, and interfaith dialogue.
-
E.
Francis
Francis is the given first name of Canadian ice hockey player and Hall of Famer King Clancy.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe946d1408190adc7dfb7b2173f9d |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce893b24c0819094fead15749fe1ee |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8a9ba0448190ae7637f24b8a8032 |
completed | April 2, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8bda33548190a8f6985a48d65a39 |
completed | April 2, 2026, 3:31 p.m. |
Created at: March 30, 2026, 6:20 p.m.