Triple

T13322777
Position Surface form Disambiguated ID Type / Status
Subject Francis J. Mugavero E317354 entity
Predicate familyName P18 FINISHED
Object Mugavero
Mugavero is an Italian-origin surname borne by various individuals, including figures in religious, academic, and public life.
E1034329 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: Mugavero | Statement: [Francis J. Mugavero, familyName, Mugavero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mugavero
Context triple: [Francis J. Mugavero, familyName, Mugavero]
  • A. Montoro
    Montoro is a municipality in southern Italy’s Campania region, known for its agricultural traditions and location within the Province of Avellino.
  • B. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • C. Moraz
    Moraz is the surname of Patrick Moraz, a Swiss keyboardist best known for his work with the progressive rock bands Yes and The Moody Blues.
  • D. Machhiwara
    Machhiwara is a historic town in Punjab, India, known for its association with Guru Gobind Singh and its location within the Ludhiana region.
  • E. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • 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: Mugavero
Triple: [Francis J. Mugavero, familyName, Mugavero]
Generated description
Mugavero is an Italian-origin surname borne by various individuals, including figures in religious, academic, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mugavero
Target entity description: Mugavero is an Italian-origin surname borne by various individuals, including figures in religious, academic, and public life.
  • A. Montoro
    Montoro is a municipality in southern Italy’s Campania region, known for its agricultural traditions and location within the Province of Avellino.
  • B. Mugatu
    Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
  • C. Moraz
    Moraz is the surname of Patrick Moraz, a Swiss keyboardist best known for his work with the progressive rock bands Yes and The Moody Blues.
  • D. Machhiwara
    Machhiwara is a historic town in Punjab, India, known for its association with Guru Gobind Singh and its location within the Ludhiana region.
  • E. Ganguise
    Ganguise is a watercourse in southern France that feeds the artificial reservoir known as Lac de la Ganguise.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992ab83c8190982d9f54dff6919f completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2cd5688190a2a0db0f0295de83 completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f71fe2c128819096cc31c9cbb739b5 completed May 3, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69f7208d47388190b1b51f346b0d1423 completed May 3, 2026, 10:16 a.m.
Created at: April 9, 2026, 9:30 p.m.