Triple
T14849750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pietro Secchi |
E349195
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Secchi
Secchi is an Italian surname most notably associated with Jesuit astronomer Pietro Angelo Secchi, a pioneer in astrophysics and stellar classification.
|
E1123803
|
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: Secchi | Statement: [Pietro Secchi, familyName, Secchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Secchi Context triple: [Pietro Secchi, familyName, Secchi]
-
A.
Badeau
Badeau is a surname of likely French origin borne by individuals such as Aminda "Minnie" Badeau.
-
B.
Bouchet
Bouchet is a surname most notably associated with Edward Alexander Bouchet, one of the first African Americans to earn a Ph.D. in the United States.
-
C.
Datai Bay
Datai Bay is a secluded, upscale beach area on Langkawi Island in Malaysia, renowned for its pristine shoreline, luxury resorts, and surrounding ancient rainforest.
-
D.
Tona
Tona is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
-
E.
Longuenesse
Longuenesse is a commune in the Pas-de-Calais department in northern France, situated near the town of Saint-Omer.
- 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: Secchi Triple: [Pietro Secchi, familyName, Secchi]
Generated description
Secchi is an Italian surname most notably associated with Jesuit astronomer Pietro Angelo Secchi, a pioneer in astrophysics and stellar classification.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Secchi Target entity description: Secchi is an Italian surname most notably associated with Jesuit astronomer Pietro Angelo Secchi, a pioneer in astrophysics and stellar classification.
-
A.
Badeau
Badeau is a surname of likely French origin borne by individuals such as Aminda "Minnie" Badeau.
-
B.
Bouchet
Bouchet is a surname most notably associated with Edward Alexander Bouchet, one of the first African Americans to earn a Ph.D. in the United States.
-
C.
Datai Bay
Datai Bay is a secluded, upscale beach area on Langkawi Island in Malaysia, renowned for its pristine shoreline, luxury resorts, and surrounding ancient rainforest.
-
D.
Tona
Tona is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
-
E.
Longuenesse
Longuenesse is a commune in the Pas-de-Calais department in northern France, situated near the town of Saint-Omer.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded43eee188190bf24dc475b3abe28 |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6504ac6081908074231cf628fd39 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe65f41df08190ae7eee3b0235faf6 |
completed | May 8, 2026, 10:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66f7b5a48190b5d31ac38e7300f9 |
completed | May 8, 2026, 10:43 p.m. |
Created at: April 10, 2026, 1:54 a.m.