Triple
T18869042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micheline Lanctôt |
E461518
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lanctôt
Lanctôt is a French-Canadian surname most notably borne by Quebec filmmaker, actress, and writer Micheline Lanctôt.
|
E1347197
|
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: Lanctôt | Statement: [Micheline Lanctôt, familyName, Lanctôt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanctôt Context triple: [Micheline Lanctôt, familyName, Lanctôt]
-
A.
Guillaume Laforge
Guillaume Laforge is a French software engineer best known as the longtime project lead and advocate of the Groovy programming language.
-
B.
Vallière
Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
-
C.
Desmarais
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
-
D.
Hugo Lavoie
Hugo Lavoie is an actor known for playing Gage Creed in an adaptation of Stephen King’s horror novel "Pet Sematary."
-
E.
Eustace Grenier
Eustace Grenier was a prominent 12th-century Crusader noble and military leader who served as constable of the Kingdom of Jerusalem and played a key role in its governance and defense.
- 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: Lanctôt Triple: [Micheline Lanctôt, familyName, Lanctôt]
Generated description
Lanctôt is a French-Canadian surname most notably borne by Quebec filmmaker, actress, and writer Micheline Lanctôt.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanctôt Target entity description: Lanctôt is a French-Canadian surname most notably borne by Quebec filmmaker, actress, and writer Micheline Lanctôt.
-
A.
Guillaume Laforge
Guillaume Laforge is a French software engineer best known as the longtime project lead and advocate of the Groovy programming language.
-
B.
Vallière
Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
-
C.
Desmarais
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
-
D.
Hugo Lavoie
Hugo Lavoie is an actor known for playing Gage Creed in an adaptation of Stephen King’s horror novel "Pet Sematary."
-
E.
Eustace Grenier
Eustace Grenier was a prominent 12th-century Crusader noble and military leader who served as constable of the Kingdom of Jerusalem and played a key role in its governance and defense.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a7e1308190a1667d2d2d43df6c |
completed | April 20, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575baf168819088723fa9e61008f4 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a05770a92988190b3bda17b119cf8de |
completed | May 14, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0577a07ecc8190a0b540e34b72d62f |
completed | May 14, 2026, 7:20 a.m. |
Created at: April 10, 2026, 11:57 a.m.