Triple
T5175686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Quarles |
E116791
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Francis
Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and historically associated with several notable religious and literary figures.
|
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 Quarles, givenName, Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Context triple: [Francis Quarles, givenName, Francis]
-
A.
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.
-
B.
Francis
Francis is the tough yet sensitive ladybug character from Pixar's animated film "A Bug's Life."
-
C.
Francis
Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
-
D.
Francis
Francis is the middle name of Jasper Francis Cropsey, a prominent 19th-century American landscape painter associated with the Hudson River School.
-
E.
Francis
Francis is the given first name of legendary Los Angeles Lakers play-by-play announcer Chick Hearn.
- 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 Quarles, givenName, Francis]
Generated description
Francis is a masculine given name of Latin origin, commonly used in English-speaking countries and historically associated with several notable religious and literary figures.
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, commonly used in English-speaking countries and historically associated with several notable religious and literary figures.
-
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 papal name of the current head of the Roman Catholic Church, known for his emphasis on humility, social justice, and interfaith dialogue.
-
D.
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."
-
E.
Francis
Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd797349008190b87ad9d0d3eb667f |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed94e269481908118fd1af1fc6a44 |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69bedd266d00819090d857ca08b411c7 |
completed | March 21, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bedda0b8dc81909942627e735023e3 |
completed | March 21, 2026, 6:04 p.m. |
Created at: March 20, 2026, 1:45 p.m.