Triple

T3096826
Position Surface form Disambiguated ID Type / Status
Subject Mattea E64614 entity
Predicate name P16 FINISHED
Object Mattea
Mattea is a feminine given name of Italian origin, often interpreted to mean "gift of God" as a variant of Matteo/Matthew.
E327488 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: Mattea | Statement: [Mattea, name, Mattea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mattea
Context triple: [Mattea, name, Mattea]
  • A. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • B. Julanne
    Julanne is a feminine given name most notably borne by American silent film actress Julanne Johnston.
  • C. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • D. Maddy
    Maddy is a common diminutive or nickname typically used for the given name Madison.
  • E. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • 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: Mattea
Triple: [Mattea, name, Mattea]
Generated description
Mattea is a feminine given name of Italian origin, often interpreted to mean "gift of God" as a variant of Matteo/Matthew.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mattea
Target entity description: Mattea is a feminine given name of Italian origin, often interpreted to mean "gift of God" as a variant of Matteo/Matthew.
  • A. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • B. Julanne
    Julanne is a feminine given name most notably borne by American silent film actress Julanne Johnston.
  • C. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • D. Maddy
    Maddy is a common diminutive or nickname typically used for the given name Madison.
  • E. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23cbe3c8190b7ec5cfd464a1ca8 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2037483fc8190b8343faa58fb9893 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b204a8c5348190a2cb102b08fd6fa5 completed March 12, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69b205bdf5c881908bc6ef7c3c30df65 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:03 p.m.