Triple
T21714846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavalcante de’ Cavalcanti |
E535999
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Cavalcante
Cavalcante is an Italian given name historically associated with medieval Florentine nobility and literary figures.
|
E1497789
|
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: Cavalcante | Statement: [Cavalcante de’ Cavalcanti, givenName, Cavalcante]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavalcante Context triple: [Cavalcante de’ Cavalcanti, givenName, Cavalcante]
-
A.
Cavaleri
Cavaleri is a metro station on the Seville Metro system serving the metropolitan area of Seville, Spain.
-
B.
Baldovino
Baldovino is an Italian given name, historically used in medieval Europe and related to the name Baldwin.
-
C.
Renaico
Renaico is a small town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and location near the Vergara River.
-
D.
Ferrera
Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
-
E.
Castilenti
Castilenti is a small Italian town located in the Abruzzo region, known for its rural character and traditional local culture.
- 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: Cavalcante Triple: [Cavalcante de’ Cavalcanti, givenName, Cavalcante]
Generated description
Cavalcante is an Italian given name historically associated with medieval Florentine nobility and literary figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cavalcante Target entity description: Cavalcante is an Italian given name historically associated with medieval Florentine nobility and literary figures.
-
A.
Cavaleri
Cavaleri is a metro station on the Seville Metro system serving the metropolitan area of Seville, Spain.
-
B.
Baldovino
Baldovino is an Italian given name, historically used in medieval Europe and related to the name Baldwin.
-
C.
Renaico
Renaico is a small town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and location near the Vergara River.
-
D.
Ferrera
Ferrera is a Spanish-origin surname most prominently associated with American actress and producer America Ferrera.
-
E.
Castilenti
Castilenti is a small Italian town located in the Abruzzo region, known for its rural character and traditional local culture.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24b38cc08190b765e50d5135a932 |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a25d1c95c8190a4140c494ac0a8f7 |
completed | May 17, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a268dd6c4819081c1bf83513bb8b8 |
completed | May 17, 2026, 8:35 p.m. |
Created at: April 16, 2026, 6:47 p.m.