Triple

T10358988
Position Surface form Disambiguated ID Type / Status
Subject Ferdinand Maria Innocenz of Bavaria E244080 entity
Predicate givenName P17 FINISHED
Object Innocenz
Innocenz is the given name of Ferdinand Maria Innocenz of Bavaria, a Bavarian nobleman and member of the House of Wittelsbach.
 E858603 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: Innocenz | Statement: [Ferdinand Maria Innocenz of Bavaria, givenName, Innocenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Innocenz
Context triple: [Ferdinand Maria Innocenz of Bavaria, givenName, Innocenz]
  • A. Ippolito
    Ippolito is the birth name of Pope Clement VIII, the head of the Catholic Church and ruler of the Papal States from 1592 to 1605.
  • B. Innocentius PP. IV
    Innocentius PP. IV is the Latin papal signature of Pope Innocent IV, who led the Catholic Church and the Papal States in the mid-13th century.
  • C. Inácio
    Inácio is a given name commonly used in Portuguese-speaking countries, equivalent to the Spanish name Ignacio.
  • D. Benedetto
    Benedetto is the Italian form of the given name Benedict, traditionally associated with blessings and several notable religious and historical figures.
  • 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: Innocenz
Triple: [Ferdinand Maria Innocenz of Bavaria, givenName, Innocenz]
Generated description
Innocenz is the given name of Ferdinand Maria Innocenz of Bavaria, a Bavarian nobleman and member of the House of Wittelsbach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Innocenz
Target entity description: Innocenz is the given name of Ferdinand Maria Innocenz of Bavaria, a Bavarian nobleman and member of the House of Wittelsbach.
  • A. Ippolito
    Ippolito is the birth name of Pope Clement VIII, the head of the Catholic Church and ruler of the Papal States from 1592 to 1605.
  • B. Innocentius PP. IV
    Innocentius PP. IV is the Latin papal signature of Pope Innocent IV, who led the Catholic Church and the Papal States in the mid-13th century.
  • C. Inácio
    Inácio is a given name commonly used in Portuguese-speaking countries, equivalent to the Spanish name Ignacio.
  • D. Benedetto
    Benedetto is the Italian form of the given name Benedict, traditionally associated with blessings and several notable religious and historical figures.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e95708c481909c8c8cb2a57bf6d6 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750b6ef248190bdbe16bbb8efcf88 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618ecb748190a492406eabe590d7 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77057affc8190b420e66560c3dfbd completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:59 a.m.