Triple

T13504279
Position Surface form Disambiguated ID Type / Status
Subject Carmel E320971 entity
Predicate hasDiminutive P456 FINISHED
Object Mel
Mel is a given name, typically used as a short form of names such as Melanie, Melissa, Melvin, or Carmel.
 E908880 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: Mel | Statement: [Carmel, hasDiminutive, Mel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mel
Context triple: [Carmel, hasDiminutive, Mel]
  • A. Mel
    Mel is a common diminutive form of the given name Carmelo.
  • B. Mel
    Mel is a common shortened form of the given name Melissa, often used as a casual or affectionate nickname.
  • C. Mer
    Mer is a small commune in central France located in the Loir-et-Cher department, known for its proximity to the Loire River and several historic châteaux.
  • D. Mal
    Mal is a common shortened form of the given name Malcolm.
  • E. Mart
    Mart is the given name of Mart Stam, a Dutch architect and furniture designer known for pioneering modernist and tubular steel chair designs.
  • 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: Mel
Triple: [Carmel, hasDiminutive, Mel]
Generated description
Mel is a given name, typically used as a short form of names such as Melanie, Melissa, Melvin, or Carmel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mel
Target entity description: Mel is a given name, typically used as a short form of names such as Melanie, Melissa, Melvin, or Carmel.
  • A. Mel
    Mel is a common diminutive form of the given name Carmelo.
  • B. Mel chosen
    Mel is a common shortened form of the given name Melissa, often used as a casual or affectionate nickname.
  • C. Mer
    Mer is a small commune in central France located in the Loir-et-Cher department, known for its proximity to the Loire River and several historic châteaux.
  • D. Mal
    Mal is a common shortened form of the given name Malcolm.
  • E. Mart
    Mart is the given name of Mart Stam, a Dutch architect and furniture designer known for pioneering modernist and tubular steel chair designs.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf810e248190a060481004503f96 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548bc188819090773db66b0103a1 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f758a55ddc81909298a37f6ce88236 completed May 3, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7593d74cc819099c5d39ae09c3f70 completed May 3, 2026, 2:18 p.m.
Created at: April 9, 2026, 9:43 p.m.