Triple
T7785664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnabas |
E187237
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Bar-Nabas
Bar-Nabas is an alternative name for Barnabas, an early Christian disciple and missionary companion of the Apostle Paul in the New Testament.
|
E692741
|
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: Bar-Nabas | Statement: [Barnabas, alsoKnownAs, Bar-Nabas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bar-Nabas Context triple: [Barnabas, alsoKnownAs, Bar-Nabas]
-
A.
Nachoragan
Nachoragan was a Byzantine military commander known for leading imperial forces during the Lazic War in the 6th century.
-
B.
Argobba
Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
-
C.
Barim
Barim is an alternative name for Perim Island, a strategically located island in the Bab-el-Mandeb strait between the Red Sea and the Gulf of Aden.
-
D.
Malgobek
Malgobek is a town in the North Caucasus region of Russia known for its oil industry and role in World War II.
-
E.
Barin
Barin is the familiar name of Barindra Kumar Ghosh, an Indian revolutionary associated with the early nationalist movement against British rule.
- 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: Bar-Nabas Triple: [Barnabas, alsoKnownAs, Bar-Nabas]
Generated description
Bar-Nabas is an alternative name for Barnabas, an early Christian disciple and missionary companion of the Apostle Paul in the New Testament.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bar-Nabas Target entity description: Bar-Nabas is an alternative name for Barnabas, an early Christian disciple and missionary companion of the Apostle Paul in the New Testament.
-
A.
Nachoragan
Nachoragan was a Byzantine military commander known for leading imperial forces during the Lazic War in the 6th century.
-
B.
Argobba
Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
-
C.
Barim
Barim is an alternative name for Perim Island, a strategically located island in the Bab-el-Mandeb strait between the Red Sea and the Gulf of Aden.
-
D.
Malgobek
Malgobek is a town in the North Caucasus region of Russia known for its oil industry and role in World War II.
-
E.
Barin
Barin is the familiar name of Barindra Kumar Ghosh, an Indian revolutionary associated with the early nationalist movement against British rule.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cadf22d9b4819081b877c751204a22 |
completed | March 30, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf604715081909eed614cbadb8db6 |
completed | March 30, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69caf81ff934819094f8089b0bd8dde7 |
completed | March 30, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cafa512e748190a52fe462d3d59f06 |
completed | March 30, 2026, 10:33 p.m. |
Created at: March 30, 2026, 4:23 p.m.