Triple
T3909762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis I of France |
E87292
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Francis
Francis is a masculine given name of Latin origin, commonly used in English and French-speaking countries and borne by numerous historical and religious 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 I of France, givenName, Francis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Context triple: [Francis I of France, givenName, Francis]
-
A.
Francis
Francis is the middle name of American seismologist Charles Francis Richter, best known for creating the Richter magnitude scale for measuring earthquakes.
-
B.
Francis
Francis is the tough yet sensitive ladybug character from Pixar's animated film "A Bug's Life."
-
C.
Francis
Francis is the middle name of Victoria Lawford, a member of the extended Kennedy family.
-
D.
Francis
Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
-
E.
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."
- 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 I of France, givenName, Francis]
Generated description
Francis is a masculine given name of Latin origin, commonly used in English and French-speaking countries and borne by numerous historical and religious 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 and French-speaking countries and borne by numerous historical and religious 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 formal given name of Frank Nighbor, a famed early 20th-century Canadian ice hockey player and Hall of Famer.
-
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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed14d6d08190b74757eb9288fe4d |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51cb1b194819093b88d3f37ae51d9 |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b51d8510c08190a88a1a8f044b3c59 |
completed | March 14, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51e0e9df08190959bc5cb7084d8a5 |
completed | March 14, 2026, 8:36 a.m. |
Created at: March 9, 2026, 3:22 p.m.