Triple

T150678
Position Surface form Disambiguated ID Type / Status
Subject Clementine E3423 entity
Predicate relatedName P3889 FINISHED
Object Clementina
Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
E30830 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: Clementina | Statement: [Clementine, relatedName, Clementina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clementina
Context triple: [Clementine, relatedName, Clementina]
  • A. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • B. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • C. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • D. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • E. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • 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: Clementina
Triple: [Clementine, relatedName, Clementina]
Generated description
Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clementina
Target entity description: Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • A. Claudia
    Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
  • B. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • C. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • D. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • E. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • 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_69a25bab43608190ba5ebfbee6b5b6e4 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3672cae0c819086233f16cc2003de completed Feb. 28, 2026, 10:07 p.m.
NEDg Description generation batch_69a367aa62f481908414358a21667187 completed Feb. 28, 2026, 10:09 p.m.
NED2 Entity disambiguation (via description) batch_69a3686970ac81908ba7efe90feb26fd completed Feb. 28, 2026, 10:12 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.