Triple

T15905391
Position Surface form Disambiguated ID Type / Status
Subject Michael Angarano E385698 entity
Predicate familyName P18 FINISHED
Object Angarano
Angarano is an Italian-origin surname most notably associated with American actor Michael Angarano.
 E1183563 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: Angarano | Statement: [Michael Angarano, familyName, Angarano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angarano
Context triple: [Michael Angarano, familyName, Angarano]
  • A. Giarratana
    Giarratana is a small town in southeastern Sicily, Italy, known for its traditional agriculture and historic Baroque-influenced architecture.
  • B. Tognana
    Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • C. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • D. Morosaglia
    Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
  • E. Biferno
    Biferno is a river in the Molise region of southern Italy that flows into the Adriatic Sea and is important for local agriculture and hydroelectric power.
  • 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: Angarano
Triple: [Michael Angarano, familyName, Angarano]
Generated description
Angarano is an Italian-origin surname most notably associated with American actor Michael Angarano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angarano
Target entity description: Angarano is an Italian-origin surname most notably associated with American actor Michael Angarano.
  • A. Giarratana
    Giarratana is a small town in southeastern Sicily, Italy, known for its traditional agriculture and historic Baroque-influenced architecture.
  • B. Tognana
    Tognana is a frazione (hamlet) of the municipality of Piove di Sacco in the Veneto region of northern Italy.
  • C. Nigoglia
    Nigoglia is the short river in northern Italy that uniquely flows northward out of Lake Orta toward the Strona and ultimately the Toce River.
  • D. Morosaglia
    Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
  • E. Biferno
    Biferno is a river in the Molise region of southern Italy that flows into the Adriatic Sea and is important for local agriculture and hydroelectric power.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565956588190ba4726a2879b677d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0535a808190983b4ff028826cbf completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb110a5b88190904f763057e8eb1e completed May 9, 2026, 10:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1a5e9b88190b790c81b9500c2ac completed May 9, 2026, 10:13 p.m.
Created at: April 10, 2026, 4:52 a.m.