Triple
T12136305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lina Bo Bardi |
E289065
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Achillina
Achillina is the birth name of Lina Bo Bardi, the influential Italian-Brazilian modernist architect and designer.
|
E966494
|
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: Achillina | Statement: [Lina Bo Bardi, givenName, Achillina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Achillina Context triple: [Lina Bo Bardi, givenName, Achillina]
-
A.
Achilla
Achilla is a military commander and antagonist in George Frideric Handel’s Baroque opera "Giulio Cesare in Egitto."
-
B.
Pentelikon
Pentelikon is a mountain in the Attica region of Greece, historically renowned for its high-quality white marble used in classical Athenian architecture such as the Parthenon.
-
C.
Amorgos
Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
-
D.
Almopia
Almopia is a historical and geographical region in northern Greece, known for its mountainous landscapes and ancient Macedonian heritage.
-
E.
Isnos
Isnos is a municipality and town in Colombia’s Huila Department, known for its nearby archaeological sites and coffee-growing region.
- 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: Achillina Triple: [Lina Bo Bardi, givenName, Achillina]
Generated description
Achillina is the birth name of Lina Bo Bardi, the influential Italian-Brazilian modernist architect and designer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Achillina Target entity description: Achillina is the birth name of Lina Bo Bardi, the influential Italian-Brazilian modernist architect and designer.
-
A.
Achilla
Achilla is a military commander and antagonist in George Frideric Handel’s Baroque opera "Giulio Cesare in Egitto."
-
B.
Pentelikon
Pentelikon is a mountain in the Attica region of Greece, historically renowned for its high-quality white marble used in classical Athenian architecture such as the Parthenon.
-
C.
Amorgos
Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
-
D.
Almopia
Almopia is a historical and geographical region in northern Greece, known for its mountainous landscapes and ancient Macedonian heritage.
-
E.
Isnos
Isnos is a municipality and town in Colombia’s Huila Department, known for its nearby archaeological sites and coffee-growing region.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158dd00c819082651891898b91bb |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68eab98819086a480a90312c3fe |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6017f89d88190b766af7828794d87 |
completed | May 2, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60232d89881909f254da6deb7f321 |
completed | May 2, 2026, 1:54 p.m. |
Created at: April 8, 2026, 9:49 p.m.