Triple
T1360214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emilio Segrè |
E29081
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Segrè
Segrè is an Italian surname most notably associated with physicist Emilio Segrè, a Nobel laureate recognized for his work on antimatter and nuclear physics.
|
E155708
|
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: Segrè | Statement: [Emilio Segrè, familyName, Segrè]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segrè Context triple: [Emilio Segrè, familyName, Segrè]
-
A.
Miquel
Miquel is a given name, commonly used in Catalan and other languages, that corresponds to the English name Michael.
-
B.
Antoni
Antoni is a masculine given name of Latin origin, commonly used in Poland and other European countries.
-
C.
Clelia Serbelloni
Clelia Serbelloni was an Italian noblewoman of the 16th century, best known as the daughter of Pope Pius IV (Giovanni Angelo Medici) and a member of the influential Serbelloni-Medici family.
-
D.
Cordovero
Cordovero is a Sephardic Jewish surname most famously associated with the 16th-century Kabbalist Rabbi Moshe Cordovero of Safed.
-
E.
Gonda
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
- 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: Segrè Triple: [Emilio Segrè, familyName, Segrè]
Generated description
Segrè is an Italian surname most notably associated with physicist Emilio Segrè, a Nobel laureate recognized for his work on antimatter and nuclear physics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Segrè Target entity description: Segrè is an Italian surname most notably associated with physicist Emilio Segrè, a Nobel laureate recognized for his work on antimatter and nuclear physics.
-
A.
Miquel
Miquel is a given name, commonly used in Catalan and other languages, that corresponds to the English name Michael.
-
B.
Antoni
Antoni is a masculine given name of Latin origin, commonly used in Poland and other European countries.
-
C.
Clelia Serbelloni
Clelia Serbelloni was an Italian noblewoman of the 16th century, best known as the daughter of Pope Pius IV (Giovanni Angelo Medici) and a member of the influential Serbelloni-Medici family.
-
D.
Cordovero
Cordovero is a Sephardic Jewish surname most famously associated with the 16th-century Kabbalist Rabbi Moshe Cordovero of Safed.
-
E.
Gonda
Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b156b081909c99ada70a969fc0 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce725fec819085f6de8e6e368aa4 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf9ac120819084c21fb7b88c050a |
completed | March 8, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accffa9a40819083a3e55a5d83e040 |
completed | March 8, 2026, 1:25 a.m. |
Created at: March 1, 2026, 7:56 p.m.