Triple
T7502674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frantz Reichel |
E177303
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Frantz |
E612079
|
NE FINISHED |
How this triple was built (2 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 Reichel, givenName, Frantz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frantz Context triple: [Frantz Reichel, givenName, Frantz]
-
A.
Frantz
chosen
Frantz is the given name of Frantz Fanon, the influential Martinican psychiatrist, philosopher, and anti-colonial theorist.
-
B.
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.
-
C.
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.
-
D.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
E.
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."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f59be2748190ad8e94179f594e51 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9953e88190a1e0e899f2ddf822 |
completed | March 28, 2026, 8:39 p.m. |
Created at: March 27, 2026, 3:44 p.m.