Triple
T4710306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giulio Natta |
E104491
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Natta
Natta is an Italian surname most notably associated with Nobel Prize–winning chemist Giulio Natta.
|
E464834
|
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: Natta | Statement: [Giulio Natta, familyName, Natta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natta Context triple: [Giulio Natta, familyName, Natta]
-
A.
Naba-Nita
Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
-
B.
Banna
Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
-
C.
Amada
Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
-
D.
Nolana
Nolana is a genus of flowering plants native mainly to coastal regions of South America, known for their showy, often blue, funnel-shaped blossoms.
-
E.
Tinée
Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur 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: Natta Triple: [Giulio Natta, familyName, Natta]
Generated description
Natta is an Italian surname most notably associated with Nobel Prize–winning chemist Giulio Natta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natta Target entity description: Natta is an Italian surname most notably associated with Nobel Prize–winning chemist Giulio Natta.
-
A.
Naba-Nita
Naba-Nita is a notable literary work by acclaimed Indian writer and scholar Nabaneeta Dev Sen.
-
B.
Banna
Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
-
C.
Amada
Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
-
D.
Nolana
Nolana is a genus of flowering plants native mainly to coastal regions of South America, known for their showy, often blue, funnel-shaped blossoms.
-
E.
Tinée
Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63ee712c81908da60aa0df58efe0 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1078784c81908e9a3fd0b168cadc |
completed | March 21, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69be11c41a7c81909f00d8301e224ec2 |
completed | March 21, 2026, 3:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be12497a90819086176bf8a8111517 |
completed | March 21, 2026, 3:36 a.m. |
Created at: March 20, 2026, 1:17 p.m.