Triple
T19789435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trapped Ashes |
E475368
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Michèle-Barbara Pelletier
Michèle-Barbara Pelletier is an actress known for her role in the horror anthology film "Trapped Ashes."
|
E1396517
|
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: Michèle-Barbara Pelletier | Statement: [Trapped Ashes, hasCastMember, Michèle-Barbara Pelletier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michèle-Barbara Pelletier Context triple: [Trapped Ashes, hasCastMember, Michèle-Barbara Pelletier]
-
A.
Françoise Lespérance
Françoise Lespérance is known primarily as the spouse of renowned Canadian painter and sculptor Jean-Paul Riopelle.
-
B.
Josée Laval
Josée Laval was the daughter of French politician and Vichy France leader Pierre Laval.
-
C.
Angélique Saucier
Angélique Saucier is known primarily as the wife of Pierre Menard, an early 19th-century American pioneer and political figure in Illinois.
-
D.
Valérie Plante
Valérie Plante is a Canadian politician who became the first female mayor of Montreal, known for her focus on public transit, housing, and sustainable urban development.
-
E.
Danièle Bourgeois
Danièle Bourgeois is a person notable enough to be recognized as a prominent bearer of the surname Bourgeois.
- 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: Michèle-Barbara Pelletier Triple: [Trapped Ashes, hasCastMember, Michèle-Barbara Pelletier]
Generated description
Michèle-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: Michèle-Barbara Pelletier Target entity description: Michèle-Barbara Pelletier is an actress known for her role in the horror anthology film "Trapped Ashes."
-
A.
Françoise Lespérance
Françoise Lespérance is known primarily as the spouse of renowned Canadian painter and sculptor Jean-Paul Riopelle.
-
B.
Josée Laval
Josée Laval was the daughter of French politician and Vichy France leader Pierre Laval.
-
C.
Angélique Saucier
Angélique Saucier is known primarily as the wife of Pierre Menard, an early 19th-century American pioneer and political figure in Illinois.
-
D.
Valérie Plante
Valérie Plante is a Canadian politician who became the first female mayor of Montreal, known for her focus on public transit, housing, and sustainable urban development.
-
E.
Danièle Bourgeois
Danièle Bourgeois is a person notable enough to be recognized as a prominent bearer of the surname Bourgeois.
- 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_6a07ccc21fec81908fdbe8ff9dc85ed1 |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07cda79f888190864242de43d07252 |
completed | May 16, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ce502b948190b726ab45645b6b3f |
completed | May 16, 2026, 1:54 a.m. |
Created at: April 10, 2026, 1:49 p.m.