Triple
T15927050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 4400 |
E386229
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Claude Foisy
Claude Foisy is a Canadian film and television composer known for his atmospheric scores on genre series and movies.
|
E1184836
|
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: Claude Foisy | Statement: [The 4400, composer, Claude Foisy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claude Foisy Context triple: [The 4400, composer, Claude Foisy]
-
A.
Rene Vachon
Rene Vachon is a notable individual who shares the Vachon surname, recognized enough to be specifically cited as a bearer of the name.
-
B.
Guy Vachon
Guy Vachon is a person notable enough to be recognized as a prominent bearer of the surname Vachon.
-
C.
Maurice Leroy
Maurice Leroy is a French politician known for his centrist affiliations and ministerial roles, including serving as Minister of the City.
-
D.
Horace Manges
Horace Manges was an American lawyer and co-founder of the prominent international law firm Weil, Gotshal & Manges LLP.
-
E.
Garry Lejeune
Garry Lejeune is a bumbling, tongue-tied actor in Michael Frayn’s farce "Noises Off," known for his romantic entanglements and frequent line mix-ups.
- 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: Claude Foisy Triple: [The 4400, composer, Claude Foisy]
Generated description
Claude Foisy is a Canadian film and television composer known for his atmospheric scores on genre series and movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Claude Foisy Target entity description: Claude Foisy is a Canadian film and television composer known for his atmospheric scores on genre series and movies.
-
A.
Rene Vachon
Rene Vachon is a notable individual who shares the Vachon surname, recognized enough to be specifically cited as a bearer of the name.
-
B.
Guy Vachon
Guy Vachon is a person notable enough to be recognized as a prominent bearer of the surname Vachon.
-
C.
Maurice Leroy
Maurice Leroy is a French politician known for his centrist affiliations and ministerial roles, including serving as Minister of the City.
-
D.
Horace Manges
Horace Manges was an American lawyer and co-founder of the prominent international law firm Weil, Gotshal & Manges LLP.
-
E.
Garry Lejeune
Garry Lejeune is a bumbling, tongue-tied actor in Michael Frayn’s farce "Noises Off," known for his romantic entanglements and frequent line mix-ups.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156866de48190a744e8dcaa0c66f1 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b0833081909668c042234b5b75 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb6a526188190be80658fb23cacbd |
completed | May 9, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb71cea948190a1c5998654aee8d5 |
completed | May 9, 2026, 10:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.