Triple
T8731126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Trébuchet |
E207256
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Trébuchet
Trébuchet is a French surname most notably borne by Sophie Trébuchet, the mother of writer Victor Hugo.
|
E753513
|
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: Trébuchet | Statement: [Sophie Trébuchet, familyName, Trébuchet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trébuchet Context triple: [Sophie Trébuchet, familyName, Trébuchet]
-
A.
Crossbow
Crossbow is a type of ranged weapon that uses a horizontal bow mounted on a stock to shoot projectiles called bolts or quarrels.
-
B.
Crossbow
"Crossbow" is a 2007 Australian short film written and directed by David Michôd, known for its stylized portrayal of a troubled boy and his family.
-
C.
Trabucco
Trabucco is a character from the film "Buddy Buddy," contributing to the movie’s comedic and narrative dynamics.
-
D.
Tsar Cannon
The Tsar Cannon is an enormous 16th-century Russian bronze artillery piece in the Moscow Kremlin, famed more as a symbol of military might and craftsmanship than for any actual use in battle.
-
E.
Schelle
Schelle is a municipality in the Belgian province of Antwerp, situated along the Rupel River.
- 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: Trébuchet Triple: [Sophie Trébuchet, familyName, Trébuchet]
Generated description
Trébuchet is a French surname most notably borne by Sophie Trébuchet, the mother of writer Victor Hugo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trébuchet Target entity description: Trébuchet is a French surname most notably borne by Sophie Trébuchet, the mother of writer Victor Hugo.
-
A.
Crossbow
Crossbow is a type of ranged weapon that uses a horizontal bow mounted on a stock to shoot projectiles called bolts or quarrels.
-
B.
Crossbow
"Crossbow" is a 2007 Australian short film written and directed by David Michôd, known for its stylized portrayal of a troubled boy and his family.
-
C.
Trabucco
Trabucco is a character from the film "Buddy Buddy," contributing to the movie’s comedic and narrative dynamics.
-
D.
Tsar Cannon
The Tsar Cannon is an enormous 16th-century Russian bronze artillery piece in the Moscow Kremlin, famed more as a symbol of military might and craftsmanship than for any actual use in battle.
-
E.
Schelle
Schelle is a municipality in the Belgian province of Antwerp, situated along the Rupel River.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d27efb88190b42d5bc9774d9c63 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf292d71ec819082095cb7b8b2d39c |
completed | April 3, 2026, 2:42 a.m. |
| NEDg | Description generation | batch_69cf2bd42e6081908e016303eeb2241f |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2ce47b748190b883063dc3e5d16b |
completed | April 3, 2026, 2:58 a.m. |
Created at: March 30, 2026, 6:37 p.m.