Triple

T7209222
Position Surface form Disambiguated ID Type / Status
Subject Derisha and Perisha E148754 entity
Predicate citationForm P4468 FINISHED
Object Perisha
Perisha is a given name, likely a feminine personal name used in various cultures.
 E648937 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: Perisha | Statement: [Derisha and Perisha, citationForm, Perisha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Perisha
Context triple: [Derisha and Perisha, citationForm, Perisha]
  • A. Istres
    Istres is a commune in southern France known for its proximity to the Étang de Berre lagoon and its significant military air base.
  • B. Tifone
    Tifone is an Italian World War II-era aircraft engine derived from the German Daimler-Benz DB 605 and used primarily in Fiat fighter planes.
  • C. Calima
    Calima refers to an ancient pre-Columbian culture from the Valle del Cauca region of Colombia, renowned for its sophisticated goldwork and distinctive ceramic art.
  • D. Koryazhma
    Koryazhma is a small industrial town in northern Russia known for its large pulp and paper mill and location within Arkhangelsk Oblast.
  • E. Njebi
    Njebi is a Bantu language spoken primarily in Gabon by the Nzebi people.
  • 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: Perisha
Triple: [Derisha and Perisha, citationForm, Perisha]
Generated description
Perisha is a given name, likely a feminine personal name used in various cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Perisha
Target entity description: Perisha is a given name, likely a feminine personal name used in various cultures.
  • A. Istres
    Istres is a commune in southern France known for its proximity to the Étang de Berre lagoon and its significant military air base.
  • B. Tifone
    Tifone is an Italian World War II-era aircraft engine derived from the German Daimler-Benz DB 605 and used primarily in Fiat fighter planes.
  • C. Calima
    Calima refers to an ancient pre-Columbian culture from the Valle del Cauca region of Colombia, renowned for its sophisticated goldwork and distinctive ceramic art.
  • D. Koryazhma
    Koryazhma is a small industrial town in northern Russia known for its large pulp and paper mill and location within Arkhangelsk Oblast.
  • E. Njebi
    Njebi is a Bantu language spoken primarily in Gabon by the Nzebi people.
  • 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.