Triple
T13709275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Watch |
E328726
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Armand Psenny |
—
|
NE NERFINISHED |
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: Armand Psenny | Statement: [Death Watch, editor, Armand Psenny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armand Psenny Context triple: [Death Watch, editor, Armand Psenny]
-
A.
Armand Psenny
chosen
Armand Psenny is a film editor known for his work on French cinema, including editing the historical drama "Que la fête commence."
-
B.
Armand Gensonné
Armand Gensonné was a French lawyer and revolutionary politician who became a prominent leader of the Girondin faction during the French Revolution and was executed during the Reign of Terror.
-
C.
Bernard Pontneau
Bernard Pontneau is a French rugby union executive best known for serving as the long-time president of the Section Paloise (Pau) rugby club.
-
D.
Bernard Accoyer
Bernard Accoyer is a French politician who served as President of the National Assembly and was a prominent figure on the center-right.
-
E.
Jacques Dufilho
Jacques Dufilho was a French actor known for his character roles in mid-20th-century cinema and for his acclaimed performances in both film and theater.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
Created at: April 9, 2026, 9:54 p.m.