Triple

T582383
Position Surface form Disambiguated ID Type / Status
Subject Pope Leo X E15085 entity
Predicate givenName P17 FINISHED
Object Giovanni
Giovanni was the birth name of Pope Leo X, the influential early 16th-century head of the Catholic Church and a prominent patron of Renaissance art and culture.
 E76149 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: Giovanni | Statement: [Pope Leo X, givenName, Giovanni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Giovanni
Context triple: [Pope Leo X, givenName, Giovanni]
  • A. Giacomo
    Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
  • B. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • C. Giuseppe
    Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
  • D. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • E. Alessandro
    Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
  • 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: Giovanni
Triple: [Pope Leo X, givenName, Giovanni]
Generated description
Giovanni was the birth name of Pope Leo X, the influential early 16th-century head of the Catholic Church and a prominent patron of Renaissance art and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Giovanni
Target entity description: Giovanni was the birth name of Pope Leo X, the influential early 16th-century head of the Catholic Church and a prominent patron of Renaissance art and culture.
  • A. Giacomo
    Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
  • B. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • C. Giuseppe
    Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
  • D. Paolo
    Paolo is the Italian form of the given name Paul, commonly used in Italy and other Italian-speaking communities.
  • E. Alessandro
    Alessandro is the Italian form of the given name Alexander, commonly used in Italy and among Italian-speaking communities.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b85becc8190b4d98c00e5fa7c04 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69a52ea8dd8481909108a8873c5d49d5 completed March 2, 2026, 6:31 a.m.
NEDg Description generation batch_69a52f45ed008190a22b24a1fd7da821 completed March 2, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69a52fa9fd808190a395fba40c96687c completed March 2, 2026, 6:35 a.m.
Created at: March 1, 2026, 7:33 p.m.