Triple
T14355110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank McCourt |
E355952
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Francis
Francis is the formal given name of Frank McCourt, the Irish-American teacher and Pulitzer Prize–winning author of the memoir "Angela's Ashes."
|
E1096463
|
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: [Frank McCourt, givenName, Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Context triple: [Frank McCourt, givenName, Francis]
-
A.
Francis
Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
-
B.
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."
-
C.
Francis
Francis is the middle name of Samuel Francis Du Pont, a prominent 19th-century U.S. Navy admiral from the Du Pont family.
-
D.
Francis
Francis is the given first name of Scottish former professional footballer Frank McAvennie.
-
E.
Francis
Francis was the given name of Francis of Lorraine, a 16th-century French nobleman who became Duke of Lorraine and played a significant role in European dynastic politics.
- 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: [Frank McCourt, givenName, Francis]
Generated description
Francis is the formal given name of Frank McCourt, the Irish-American teacher and Pulitzer Prize–winning author of the memoir "Angela's Ashes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francis Target entity description: Francis is the formal given name of Frank McCourt, the Irish-American teacher and Pulitzer Prize–winning author of the memoir "Angela's Ashes."
-
A.
Francis
Francis is the given first name of the American poet and art critic Frank O’Hara, a central figure of the New York School.
-
B.
Francis
Francis is the given first name of Irish actor and singer Fra Fee, known for his work in film, television, and musical theatre.
-
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 the American author and poet Bret Harte, known for his stories of the California Gold Rush.
-
E.
Francis
Francis is the middle name of Patrick Francis Healy, a prominent 19th-century American Jesuit priest and president of Georgetown University.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f519bf881908615f4d47e0f77aa |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c44ff4c8190bbcc7a34b98ac330 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd512c32a081908e516c51d846a2c0 |
completed | May 8, 2026, 2:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd51e9a43c8190965bf0c7b5bbab26 |
completed | May 8, 2026, 3 a.m. |
Created at: April 10, 2026, 1:15 a.m.