Triple

T7209221
Position Surface form Disambiguated ID Type / Status
Subject Derisha and Perisha E148754 entity
Predicate citationForm P4468 FINISHED
Object Derisha
Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
 E648936 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: Derisha | Statement: [Derisha and Perisha, citationForm, Derisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Derisha
Context triple: [Derisha and Perisha, citationForm, Derisha]
  • A. Tarana
    Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
  • B. Darsa
    Darsa is a small, sparsely inhabited island in the Indian Ocean that forms part of Yemen’s remote Socotra archipelago, known for its isolation and rich marine life.
  • C. Sharya
    Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
  • D. Ziria
    Ziria is a mountain in the northeastern Peloponnese of Greece, traditionally identified with Mount Cyllene, which is famed in Greek mythology as the birthplace of the god Hermes.
  • E. Novilara
    Novilara is an archaeological site and locality in the Marche region of Italy, known for its ancient Picene culture remains and notable funerary stelae.
  • 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: Derisha
Triple: [Derisha and Perisha, citationForm, Derisha]
Generated description
Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Derisha
Target entity description: Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
  • A. Tarana
    Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
  • B. Darsa
    Darsa is a small, sparsely inhabited island in the Indian Ocean that forms part of Yemen’s remote Socotra archipelago, known for its isolation and rich marine life.
  • C. Sharya
    Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
  • D. Ziria
    Ziria is a mountain in the northeastern Peloponnese of Greece, traditionally identified with Mount Cyllene, which is famed in Greek mythology as the birthplace of the god Hermes.
  • E. Novilara
    Novilara is an archaeological site and locality in the Marche region of Italy, known for its ancient Picene culture remains and notable funerary stelae.
  • 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_69c687e8cf188190b5f3ecffd681f04e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e96c46dc819080a6b40456d7b068 completed March 27, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7bfc4e6688190ad9e0d31505e65af completed March 28, 2026, 11:47 a.m.
NEDg Description generation batch_69c7c05a1f548190914a9b2ba98cbef2 completed March 28, 2026, 11:49 a.m.
NED2 Entity disambiguation (via description) batch_69c7c0e6b508819093092e3516a9ec46 completed March 28, 2026, 11:52 a.m.
Created at: March 27, 2026, 2:52 p.m.