Triple

T5208470
Position Surface form Disambiguated ID Type / Status
Subject Alan Alda E117569 entity
Predicate familyName P18 FINISHED
Object D’Abruzzo
D’Abruzzo is the original Italian family name of American actor and director Alan Alda.
 E69244 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: D’Abruzzo | Statement: [Alan Alda, familyName, D’Abruzzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: D’Abruzzo
Context triple: [Alan Alda, familyName, D’Abruzzo]
  • A. Abruzzo
    Abruzzo is a central Italian region known for its rugged Apennine mountains, national parks, and Adriatic Sea coastline.
  • B. Molise
    Molise is a small, predominantly rural region in southern Italy known for its mountainous landscapes, traditional agriculture, and relatively low population density.
  • C. Umbria
    Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
  • D. La Marche
    La Marche is a historic province in central France known for its rural landscapes and role as a frontier region between major medieval territories.
  • E. Maremma region
    The Maremma region is a coastal area of southwestern Tuscany and northern Lazio in Italy, known for its wild landscapes, medieval hill towns, and traditional agriculture.
  • 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: D’Abruzzo
Triple: [Alan Alda, familyName, D’Abruzzo]
Generated description
D’Abruzzo is the original Italian family name of American actor and director Alan Alda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: D’Abruzzo
Target entity description: D’Abruzzo is the original Italian family name of American actor and director Alan Alda.
  • A. Abruzzo chosen
    Abruzzo is a central Italian region known for its rugged Apennine mountains, national parks, and Adriatic Sea coastline.
  • B. Molise
    Molise is a small, predominantly rural region in southern Italy known for its mountainous landscapes, traditional agriculture, and relatively low population density.
  • C. Umbria
    Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
  • D. La Marche
    La Marche is a historic province in central France known for its rural landscapes and role as a frontier region between major medieval territories.
  • E. Maremma region
    The Maremma region is a coastal area of southwestern Tuscany and northern Lazio in Italy, known for its wild landscapes, medieval hill towns, and traditional agriculture.
  • F. None of above.

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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a6d70d081908c74e86b3bca9ba2 completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10c17a648190b8ca7b85cfbfb9e4 completed March 21, 2026, 9:42 p.m.
NEDg Description generation batch_69bf148fa2588190b4977526beef3d8b completed March 21, 2026, 9:58 p.m.
NED2 Entity disambiguation (via description) batch_69bf14dfa4608190a467faf7116a6405 completed March 21, 2026, 9:59 p.m.
Created at: March 20, 2026, 1:47 p.m.