Triple
T18220561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silent Trigger |
E436290
|
entity |
| Predicate | cinematography |
P1953
|
FINISHED |
| Object |
David Pelletier
David Pelletier is a cinematographer known for his work on action films such as "Silent Trigger."
|
E1313255
|
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: David Pelletier | Statement: [Silent Trigger, cinematography, David Pelletier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Pelletier Context triple: [Silent Trigger, cinematography, David Pelletier]
-
A.
David Pelletier
David Pelletier is a Canadian pairs figure skater best known for winning the controversial 2002 Olympic gold medal with partner Jamie Salé.
-
B.
Christian Lépine
Christian Lépine is a Canadian Roman Catholic prelate who serves as the Archbishop of Montreal.
-
C.
Robert M. Latimer
Robert M. Latimer was an American chemist known for co-discovering the synthetic element lawrencium.
-
D.
Guy Gendron
Guy Gendron was a Canadian professional ice hockey left winger who played in the NHL during the 1950s and 1960s, notably with teams such as the New York Rangers and Boston Bruins.
-
E.
Ghislaine Thesmar
Ghislaine Thesmar is a renowned French ballerina and ballet teacher, celebrated as one of the leading étoiles of the Paris Opera Ballet in the 1970s.
- 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: David Pelletier Triple: [Silent Trigger, cinematography, David Pelletier]
Generated description
David Pelletier is a cinematographer known for his work on action films such as "Silent Trigger."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Pelletier Target entity description: David Pelletier is a cinematographer known for his work on action films such as "Silent Trigger."
-
A.
David Pelletier
David Pelletier is a Canadian pairs figure skater best known for winning the controversial 2002 Olympic gold medal with partner Jamie Salé.
-
B.
Christian Lépine
Christian Lépine is a Canadian Roman Catholic prelate who serves as the Archbishop of Montreal.
-
C.
Robert M. Latimer
Robert M. Latimer was an American chemist known for co-discovering the synthetic element lawrencium.
-
D.
Guy Gendron
Guy Gendron was a Canadian professional ice hockey left winger who played in the NHL during the 1950s and 1960s, notably with teams such as the New York Rangers and Boston Bruins.
-
E.
Ghislaine Thesmar
Ghislaine Thesmar is a renowned French ballerina and ballet teacher, celebrated as one of the leading étoiles of the Paris Opera Ballet in the 1970s.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47b5bfc819085c5935c08361ba9 |
completed | April 19, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f1b982881909bbff3ce2c560c98 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a03a31626fc8190b68f8cdb780debed |
completed | May 12, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a37d8658819094a2b24259af9f29 |
completed | May 12, 2026, 10:02 p.m. |
Created at: April 10, 2026, 10:32 a.m.