Triple
T15140621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arborea |
E361672
|
entity |
| Predicate | dynasty |
P1547
|
FINISHED |
| Object |
Lacon-Serra
Lacon-Serra was a medieval ruling dynasty associated with the judges (giudici) of Arborea in Sardinia.
|
E1139547
|
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: Lacon-Serra | Statement: [Arborea, dynasty, Lacon-Serra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacon-Serra Context triple: [Arborea, dynasty, Lacon-Serra]
-
A.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
-
B.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
C.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
-
D.
Sarda
Sarda is a genus of medium-sized predatory fish in the mackerel family, commonly known as bonitos, found in temperate and tropical oceans worldwide.
-
E.
Gallega
Gallega was one of the ships in Christopher Columbus’s final transatlantic expedition, the fourth voyage undertaken to explore parts of Central and South America.
- 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: Lacon-Serra Triple: [Arborea, dynasty, Lacon-Serra]
Generated description
Lacon-Serra was a medieval ruling dynasty associated with the judges (giudici) of Arborea in Sardinia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lacon-Serra Target entity description: Lacon-Serra was a medieval ruling dynasty associated with the judges (giudici) of Arborea in Sardinia.
-
A.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
-
B.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
C.
Casarosa
Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
-
D.
Sarda
Sarda is a genus of medium-sized predatory fish in the mackerel family, commonly known as bonitos, found in temperate and tropical oceans worldwide.
-
E.
Gallega
Gallega was one of the ships in Christopher Columbus’s final transatlantic expedition, the fourth voyage undertaken to explore parts of Central and South America.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c46a248190a2364092d40274f3 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfec3ae48190b2d8e853dab00777 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec0c97f4c819084ba9eb2d8f69ceb |
completed | May 9, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec13ccea48190aeb155af012478b8 |
completed | May 9, 2026, 5:08 a.m. |
Created at: April 10, 2026, 3:07 a.m.