Triple
T13663835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farris |
E327064
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Farris (given name)
Farris is a masculine given name of English and Arabic origins, sometimes used as a surname.
|
E327064
|
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: Farris (given name) | Statement: [Farris, hasVariant, Farris (given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farris (given name) Context triple: [Farris, hasVariant, Farris (given name)]
-
A.
Farris
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
-
B.
Farr
Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
-
C.
Francis (surname)
Francis is an English-language surname of Latin origin, historically associated with the given name Francis and borne by various notable figures in politics, arts, and sciences.
-
D.
Farrow
Farrow is the surname of American actress and humanitarian Mia Farrow, known for her work in film and activism.
-
E.
Fauset
Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
- 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: Farris (given name) Triple: [Farris, hasVariant, Farris (given name)]
Generated description
Farris is a masculine given name of English and Arabic origins, sometimes used as a surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Farris (given name) Target entity description: Farris is a masculine given name of English and Arabic origins, sometimes used as a surname.
-
A.
Farris
chosen
Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
-
B.
Farr
Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
-
C.
Francis (surname)
Francis is an English-language surname of Latin origin, historically associated with the given name Francis and borne by various notable figures in politics, arts, and sciences.
-
D.
Farrow
Farrow is the surname of American actress and humanitarian Mia Farrow, known for her work in film and activism.
-
E.
Fauset
Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc622a07c81909ef7fb55e719dd9a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0ac4c88190ab6f753c6847eb6e |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78cdf1a74819087b0370060ddfa99 |
completed | May 3, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78e00007c81909007a751fd4625c2 |
completed | May 3, 2026, 6:03 p.m. |
Created at: April 9, 2026, 9:52 p.m.