Triple
T8294458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Édouard Mortier |
E194179
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mortier
Mortier is a French surname most notably borne by Édouard Mortier, a Marshal of France under Napoleon.
|
E723569
|
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: Mortier | Statement: [Édouard Mortier, familyName, Mortier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortier Context triple: [Édouard Mortier, familyName, Mortier]
-
A.
Môtier
Môtier is a small Swiss village in the canton of Fribourg, known for its vineyards and scenic location in the Vully region.
-
B.
Colas
Colas is a major French civil engineering and construction company best known for its global road-building and transport infrastructure activities.
-
C.
Souletin
Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
-
D.
Sous-Massa
Sous-Massa is a region in southwestern Morocco known for its Amazigh (Shilha) population, Atlantic coastline, and diverse agricultural and natural landscapes.
-
E.
Masson-Angers
Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
- 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: Mortier Triple: [Édouard Mortier, familyName, Mortier]
Generated description
Mortier is a French surname most notably borne by Édouard Mortier, a Marshal of France under Napoleon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mortier Target entity description: Mortier is a French surname most notably borne by Édouard Mortier, a Marshal of France under Napoleon.
-
A.
Môtier
Môtier is a small Swiss village in the canton of Fribourg, known for its vineyards and scenic location in the Vully region.
-
B.
Colas
Colas is a major French civil engineering and construction company best known for its global road-building and transport infrastructure activities.
-
C.
Souletin
Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
-
D.
Sous-Massa
Sous-Massa is a region in southwestern Morocco known for its Amazigh (Shilha) population, Atlantic coastline, and diverse agricultural and natural landscapes.
-
E.
Masson-Angers
Masson-Angers is a former municipality in western Quebec, Canada, that now forms a sector within the city of Gatineau.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df5fff88190ac51a8d1c3eb2fe2 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68a3258481908fe04fed1d00c9ba |
completed | April 1, 2026, 6:49 p.m. |
| NEDg | Description generation | batch_69cd6d567c3c81908a7ec5bc13be529d |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e3e2f848190a22ad8739bb8e298 |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:52 p.m.