Triple

T15516328
Position Surface form Disambiguated ID Type / Status
Subject Tasha Schwikert E368842 entity
Predicate nickname P55 FINISHED
Object Tasha
Tasha is a common given name, often used as a diminutive of Natasha.
E1163153 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: Tasha | Statement: [Tasha Schwikert, nickname, Tasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tasha
Context triple: [Tasha Schwikert, nickname, Tasha]
  • A. Talia
    Talia is a feminine given name used in various cultures, often associated with meanings like “dew from heaven” or “to bloom.”
  • B. Tatia
    Tatia was an early Roman noblewoman, traditionally known as the wife of Rome’s second king, Numa Pompilius, and a figure linked to the Sabine heritage in Roman legend.
  • C. Ta’aisha
    The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
  • D. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • E. Xandra
    Xandra is a shortened, informal given name derived from Alexandra, often used as a modern, distinctive feminine name.
  • 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: Tasha
Triple: [Tasha Schwikert, nickname, Tasha]
Generated description
Tasha is a common given name, often used as a diminutive of Natasha.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tasha
Target entity description: Tasha is a common given name, often used as a diminutive of Natasha.
  • A. Talia
    Talia is a feminine given name used in various cultures, often associated with meanings like “dew from heaven” or “to bloom.”
  • B. Tatia
    Tatia was an early Roman noblewoman, traditionally known as the wife of Rome’s second king, Numa Pompilius, and a figure linked to the Sabine heritage in Roman legend.
  • C. Ta’aisha
    The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
  • D. Tamara
    Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
  • E. Xandra
    Xandra is a shortened, informal given name derived from Alexandra, often used as a modern, distinctive feminine name.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04033303c8190a87b6384f68a6921 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff454eafe48190a481b4adb8388395 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff467e5d6c8190ba3bf6557e683233 completed May 9, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff470912bc8190a42ee312aca55872 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 4:02 a.m.