Triple
T6683920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frantz Fanon |
E152052
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Frantz
Frantz is the given name of Frantz Fanon, the influential Martinican psychiatrist, philosopher, and anti-colonial theorist.
|
E612079
|
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: Frantz | Statement: [Frantz Fanon, givenName, Frantz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frantz Context triple: [Frantz Fanon, givenName, Frantz]
-
A.
Firmin
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
-
B.
Jeannot
Jeannot is the given name of French-American film and television director Jeannot Szwarc, known for works such as "Jaws 2" and numerous TV episodes.
-
C.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
D.
Michel
Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
-
E.
Michel
Michel is a French given name commonly used for males, equivalent to "Michael" in English.
- 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: Frantz Triple: [Frantz Fanon, givenName, Frantz]
Generated description
Frantz is the given name of Frantz Fanon, the influential Martinican psychiatrist, philosopher, and anti-colonial theorist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frantz Target entity description: Frantz is the given name of Frantz Fanon, the influential Martinican psychiatrist, philosopher, and anti-colonial theorist.
-
A.
Firmin
Firmin is a French given name notably borne by Firmin Didot, a renowned printer, typefounder, and member of the influential Didot family in the history of typography.
-
B.
Jeannot
Jeannot is the given name of French-American film and television director Jeannot Szwarc, known for works such as "Jaws 2" and numerous TV episodes.
-
C.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
D.
Michel
Michel is the birth name of the acclaimed Egyptian actor Omar Sharif, renowned for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
-
E.
Michel
Michel is a French given name commonly used for males, equivalent to "Michael" in English.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b122df14819082068af37611b691 |
completed | March 27, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7ae8f388190a3c78c89b7293804 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f9f7b4b08190b5c4dab67758af67 |
completed | March 27, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6fac7c0e881909b4c2058beebda9f |
completed | March 27, 2026, 9:46 p.m. |
Created at: March 27, 2026, 2:04 p.m.