Triple

T150676
Position Surface form Disambiguated ID Type / Status
Subject Clementine E3423 entity
Predicate hasDiminutive P456 FINISHED
Object Clemmie
Clemmie is a diminutive given name commonly used as a nickname for Clementine.
 E19459 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: Clemmie | Statement: [Clementine, hasDiminutive, Clemmie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clemmie
Context triple: [Clementine, hasDiminutive, Clemmie]
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Clive
    Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
  • C. Claudine
    Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
  • D. Norma
    Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
  • E. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • 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: Clemmie
Triple: [Clementine, hasDiminutive, Clemmie]
Generated description
Clemmie is a diminutive given name commonly used as a nickname for Clementine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clemmie
Target entity description: Clemmie is a diminutive given name commonly used as a nickname for Clementine.
  • A. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • B. Clive
    Clive is a surname most famously associated with Robert Clive, the 18th-century British officer who played a key role in establishing British rule in India.
  • C. Claudine
    Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
  • D. Norma
    Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
  • E. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a2580dda148190a522e0ac276d5f33 completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d0c4cae881909e954f12d5bb9672 completed Feb. 28, 2026, 11:25 a.m.
NEDg Description generation batch_69a2d180ce20819087083946a8c1bd08 completed Feb. 28, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69a2d25066548190ad8913bbe11d82ee completed Feb. 28, 2026, 11:32 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.