Triple
T11779083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebenezer Francis |
E280093
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Francis
Francis is a surname of English origin borne by various notable individuals, including historical figures such as American Revolutionary War officer Ebenezer Francis.
|
E378772
|
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: [Ebenezer Francis, familyName, Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Context triple: [Ebenezer Francis, familyName, 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 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 name of American singer and conductor Frank Sinatra Jr., son of legendary entertainer Frank Sinatra.
-
E.
Francis
Francis is a person known primarily through their association as a friend of Heimlich.
- 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: [Ebenezer Francis, familyName, Francis]
Generated description
Francis is a surname of English origin borne by various notable individuals, including historical figures such as American Revolutionary War officer Ebenezer Francis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francis Target entity description: Francis is a surname of English origin borne by various notable individuals, including historical figures such as American Revolutionary War officer Ebenezer Francis.
-
A.
Francis
chosen
Francis is a common English surname of Latin origin, historically associated with people from France or those bearing the given name Francis.
-
B.
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.
-
C.
Francis
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.
-
D.
Francis
Francis is the given first name of the English actor Frank Finlay, known for his work in film, television, and theatre.
-
E.
Francis
Francis is the middle name of Samuel Francis Du Pont, a prominent 19th-century U.S. Navy admiral from the Du Pont family.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5623f708190a18aea570577a3f6 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09075aba8819082434a43473025bd |
completed | April 28, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69f0bd3e585481908223acfd780a72a2 |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef31076c8190b33a6a2778d7ffbb |
completed | April 28, 2026, 5:32 p.m. |
Created at: April 8, 2026, 9:42 p.m.