Triple
T15061438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Clarence Seignoret |
E379635
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Seignoret
Seignoret is a surname most notably associated with Sir Clarence Seignoret, a former President of Dominica.
|
E1135716
|
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: Seignoret | Statement: [Sir Clarence Seignoret, familyName, Seignoret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seignoret Context triple: [Sir Clarence Seignoret, familyName, Seignoret]
-
A.
Sarti
Sarti is a coastal village and popular beach resort on the Sithonia peninsula in northern Greece, known for its scenic shoreline and views of Mount Athos.
-
B.
Maite
Maite is a village district within the municipality of Mongmong-Toto-Maite on the island of Guam.
-
C.
Geronima Mazzarini
Geronima Mazzarini was an Italian noblewoman of the influential Mazzarini family, sister of Cardinal Mazarin and mother-in-law to Eugene Maurice, Count of Soissons.
-
D.
Giglioli
Giglioli was a zoologist and taxonomist known for formally describing species such as the Chatham Island taiko.
-
E.
Lollobrigida
Lollobrigida is an Italian surname most famously associated with Gina Lollobrigida, a celebrated 20th-century film actress and international sex symbol.
- 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: Seignoret Triple: [Sir Clarence Seignoret, familyName, Seignoret]
Generated description
Seignoret is a surname most notably associated with Sir Clarence Seignoret, a former President of Dominica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seignoret Target entity description: Seignoret is a surname most notably associated with Sir Clarence Seignoret, a former President of Dominica.
-
A.
Sarti
Sarti is a coastal village and popular beach resort on the Sithonia peninsula in northern Greece, known for its scenic shoreline and views of Mount Athos.
-
B.
Maite
Maite is a village district within the municipality of Mongmong-Toto-Maite on the island of Guam.
-
C.
Geronima Mazzarini
Geronima Mazzarini was an Italian noblewoman of the influential Mazzarini family, sister of Cardinal Mazarin and mother-in-law to Eugene Maurice, Count of Soissons.
-
D.
Giglioli
Giglioli was a zoologist and taxonomist known for formally describing species such as the Chatham Island taiko.
-
E.
Lollobrigida
Lollobrigida is an Italian surname most famously associated with Gina Lollobrigida, a celebrated 20th-century film actress and international sex symbol.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee6a55c8190b40c4672fb46b79b |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c612d481909575b76f7aa96c50 |
completed | May 9, 2026, 3:11 a.m. |
| NEDg | Description generation | batch_69fea88329708190bd943e69c209458e |
completed | May 9, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea91cd358819092f4e2b9392039f8 |
completed | May 9, 2026, 3:25 a.m. |
Created at: April 10, 2026, 3:01 a.m.