Triple
T14653643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Lovers and a Bear |
E344053
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Joel Gagné
Joel Gagné is an actor known for his role in the Canadian romantic drama film "Two Lovers and a Bear."
|
E1112014
|
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: Joel Gagné | Statement: [Two Lovers and a Bear, starring, Joel Gagné]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel Gagné Context triple: [Two Lovers and a Bear, starring, Joel Gagné]
-
A.
André Perron
André Perron is a personal name shared by several individuals, most commonly associated with French-speaking professionals and public figures.
-
B.
Joel Bouchard
Joel Bouchard is a Canadian former professional ice hockey defenseman who became a coach in the American Hockey League.
-
C.
Gilles Chiasson
Gilles Chiasson is an American actor and singer best known for originating roles in the Broadway musical Rent and for his work in theatre and television.
-
D.
Sylvain Turgeon
Sylvain Turgeon is a former Canadian professional ice hockey left winger who played in the NHL during the 1980s and early 1990s.
-
E.
Christian Larrivée
Christian Larrivée is a Canadian former professional ice hockey forward best known for his long and successful career in European leagues, particularly in Norway.
- 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: Joel Gagné Triple: [Two Lovers and a Bear, starring, Joel Gagné]
Generated description
Joel Gagné is an actor known for his role in the Canadian romantic drama film "Two Lovers and a Bear."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joel Gagné Target entity description: Joel Gagné is an actor known for his role in the Canadian romantic drama film "Two Lovers and a Bear."
-
A.
André Perron
André Perron is a personal name shared by several individuals, most commonly associated with French-speaking professionals and public figures.
-
B.
Joel Bouchard
Joel Bouchard is a Canadian former professional ice hockey defenseman who became a coach in the American Hockey League.
-
C.
Gilles Chiasson
Gilles Chiasson is an American actor and singer best known for originating roles in the Broadway musical Rent and for his work in theatre and television.
-
D.
Sylvain Turgeon
Sylvain Turgeon is a former Canadian professional ice hockey left winger who played in the NHL during the 1980s and early 1990s.
-
E.
Christian Larrivée
Christian Larrivée is a Canadian former professional ice hockey forward best known for his long and successful career in European leagues, particularly in Norway.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb518f7dc8190877997ea4cd3eed2 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5db85648190b0e5b1c0827fa9f4 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd6ed699c8190919677dcdf2d24d9 |
completed | May 8, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd79198108190a3e640eca97b082b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:27 a.m.