Triple
T12653801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loma |
E302229
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Bouze
Bouze is an alternative name for the Loma people, an ethnic group primarily found in Liberia and Guinea in West Africa.
|
E996631
|
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: Bouze | Statement: [Loma, alternativeName, Bouze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bouze Context triple: [Loma, alternativeName, Bouze]
-
A.
Bruno Lyonnaz
Bruno Lyonnaz is a French local politician serving as the mayor of the commune of Sévrier in southeastern France.
-
B.
Andre Lamal
Andre Lamal is a film producer best known for his work on the 2000 romantic drama "Wicker Park."
-
C.
Manu Katché
Manu Katché is a French drummer and composer renowned for his work in jazz, pop, and rock, collaborating with artists such as Peter Gabriel, Sting, and Joni Mitchell.
-
D.
Binz
Binz is a popular seaside resort town on the German island of Rügen, known for its sandy beaches and historic resort architecture.
-
E.
Jean le Bon
Jean le Bon was John II, a 14th-century King of France whose reign was marked by the Hundred Years' War and his capture at the Battle of Poitiers.
- 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: Bouze Triple: [Loma, alternativeName, Bouze]
Generated description
Bouze is an alternative name for the Loma people, an ethnic group primarily found in Liberia and Guinea in West Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bouze Target entity description: Bouze is an alternative name for the Loma people, an ethnic group primarily found in Liberia and Guinea in West Africa.
-
A.
Bruno Lyonnaz
Bruno Lyonnaz is a French local politician serving as the mayor of the commune of Sévrier in southeastern France.
-
B.
Andre Lamal
Andre Lamal is a film producer best known for his work on the 2000 romantic drama "Wicker Park."
-
C.
Manu Katché
Manu Katché is a French drummer and composer renowned for his work in jazz, pop, and rock, collaborating with artists such as Peter Gabriel, Sting, and Joni Mitchell.
-
D.
Binz
Binz is a popular seaside resort town on the German island of Rügen, known for its sandy beaches and historic resort architecture.
-
E.
Jean le Bon
Jean le Bon was John II, a 14th-century King of France whose reign was marked by the Hundred Years' War and his capture at the Battle of Poitiers.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66c572f848190a8cad6311d3315a3 |
completed | May 2, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66cef79148190a052fb9ade3b0d27 |
completed | May 2, 2026, 9:30 p.m. |
Created at: April 9, 2026, 5:18 p.m.