Triple
T7436378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Brothers |
E171625
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Michel Fessler |
E317043
|
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: Michel Fessler | Statement: [Two Brothers, screenwriter, Michel Fessler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michel Fessler Context triple: [Two Brothers, screenwriter, Michel Fessler]
-
A.
Michel Fessler
chosen
Michel Fessler is a French screenwriter best known for co-writing the acclaimed nature documentary film "March of the Penguins."
-
B.
Alain Macklovitch
Alain Macklovitch is a Canadian DJ, turntablist, and record producer better known by his stage name A-Trak, recognized for his influential role in electronic and hip-hop music.
-
C.
Michel Hofman
Michel Hofman is a Belgian military officer who serves as the country's Chief of Defence, the highest-ranking position in the Belgian Armed Forces.
-
D.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
E.
Robert Fraisse
Robert Fraisse is a French cinematographer known for his visually striking work on international films, including major war dramas and action features.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7adaf3c819095214864b91316f6 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 3:13 p.m.