Triple
T17323608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Wayland |
E420626
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Francis
Francis is a masculine given name of Latin origin meaning "Frenchman" or "free one," historically popular in English-speaking countries.
|
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 Wayland, givenName, Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Context triple: [Francis Wayland, givenName, Francis]
-
A.
Francis
Francis is the given first name of the American actor Frank Morgan, best known for his role as the Wizard in "The Wizard of Oz."
-
B.
Francis
Francis is the middle name of American sportscaster Joe Buck, whose full name is Joseph Francis Buck.
-
C.
Francis
Francis is the given name of Frank Sheeran, the American labor union official and alleged mob hitman whose life inspired the film "The Irishman."
-
D.
Francis
Francis is the given first name of British journalist and author Claud Cockburn.
-
E.
Francis
Francis is the middle name of William Francis Deegan, an American military officer, engineer, and prominent New York City political figure of the early 20th century.
- 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 Wayland, givenName, Francis]
Generated description
Francis is a masculine given name of Latin origin meaning "Frenchman" or "free one," historically popular in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francis Target entity description: Francis is a masculine given name of Latin origin meaning "Frenchman" or "free one," historically popular in English-speaking countries.
-
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 name of St. Francis de Sales, a 17th-century Catholic bishop renowned for his spiritual writings and gentle approach to religious reform.
-
D.
Francis
Francis is the given name of Francis Edward Rawdon-Hastings, a prominent British military commander and colonial administrator of the late 18th and early 19th centuries.
-
E.
Francis
Francis is the given first name of Irish actor and singer Fra Fee, known for his work in film, television, and musical theatre.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d0cf2481908a018593ef39fd18 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4a6630819082998cf754e8361f |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018ccb69cc8190b89a1d8edd3987a0 |
completed | May 11, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018ea5b7b081908f638608f094ad29 |
completed | May 11, 2026, 8:09 a.m. |
Created at: April 10, 2026, 5:43 a.m.