Triple
T19789427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trapped Ashes |
E475368
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Michele-Barbara Pelletier
Michele-Barbara Pelletier is an actress known for her role in the horror anthology film "Trapped Ashes."
|
E1396209
|
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: Michele-Barbara Pelletier | Statement: [Trapped Ashes, hasCastMember, Michele-Barbara Pelletier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele-Barbara Pelletier Context triple: [Trapped Ashes, hasCastMember, Michele-Barbara Pelletier]
-
A.
Lisette Charbonneau
Lisette Charbonneau was the daughter of Sacagawea and Toussaint Charbonneau, born during or shortly after the Lewis and Clark Expedition era.
-
B.
Dominique Fournier
Dominique Fournier is known as the spouse of legendary French actor Jean Gabin.
-
C.
Dominique Fortin
Dominique Fortin is a film editor best known for her work on major feature films, including the James Bond movie "Tomorrow Never Dies."
-
D.
Annette Courtemanche
Annette Courtemanche is an individual known primarily as the birth name of Annette Courtemanche Kirk.
-
E.
Étienne Parent
Étienne Parent was a 19th-century Canadian journalist, lawyer, and politician from Lower Canada, known for his influential writings and advocacy for French-Canadian interests.
- 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: Michele-Barbara Pelletier Triple: [Trapped Ashes, hasCastMember, Michele-Barbara Pelletier]
Generated description
Michele-Barbara Pelletier is an actress known for her role in the horror anthology film "Trapped Ashes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michele-Barbara Pelletier Target entity description: Michele-Barbara Pelletier is an actress known for her role in the horror anthology film "Trapped Ashes."
-
A.
Lisette Charbonneau
Lisette Charbonneau was the daughter of Sacagawea and Toussaint Charbonneau, born during or shortly after the Lewis and Clark Expedition era.
-
B.
Dominique Fournier
Dominique Fournier is known as the spouse of legendary French actor Jean Gabin.
-
C.
Dominique Fortin
Dominique Fortin is a film editor best known for her work on major feature films, including the James Bond movie "Tomorrow Never Dies."
-
D.
Annette Courtemanche
Annette Courtemanche is an individual known primarily as the birth name of Annette Courtemanche Kirk.
-
E.
Étienne Parent
Étienne Parent was a 19th-century Canadian journalist, lawyer, and politician from Lower Canada, known for his influential writings and advocacy for French-Canadian interests.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538ae5108190b80eb7de6f445f02 |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4fdbf4c8190a9177e87b65fc965 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c90c07a48190b0f23597124b5017 |
completed | May 16, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c97b33b481909e9b45b37cfe87b3 |
completed | May 16, 2026, 1:33 a.m. |
Created at: April 10, 2026, 1:49 p.m.