Triple

T19810163
Position Surface form Disambiguated ID Type / Status
Subject Tina E475921 entity
Predicate shortFormOf P43 FINISHED
Object Katina
Katina is a feminine given name, often considered a variant of Katherine and used in various cultures.
E1395183 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: Katina | Statement: [Tina, shortFormOf, Katina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katina
Context triple: [Tina, shortFormOf, Katina]
  • A. Mahina
    Mahina is a coastal commune on the island of Tahiti in French Polynesia, known for its proximity to Point Venus and its scenic Pacific shoreline.
  • B. Maiya
    Maiya is a reverential term used in parts of India to address or invoke a mother goddess figure, particularly in Hindu devotional contexts.
  • C. Ishka
    Ishka is a Ferengi woman from Star Trek: Deep Space Nine, notable for being Quark and Rom’s progressive, profit-savvy mother who challenges traditional Ferengi gender norms.
  • D. Lehna
    Lehna, later known as Guru Angad, was the second Sikh Guru and a key early leader in consolidating and spreading Sikhism after Guru Nanak.
  • E. Nini
    Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
  • 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: Katina
Triple: [Tina, shortFormOf, Katina]
Generated description
Katina is a feminine given name, often considered a variant of Katherine and used in various cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Katina
Target entity description: Katina is a feminine given name, often considered a variant of Katherine and used in various cultures.
  • A. Mahina
    Mahina is a coastal commune on the island of Tahiti in French Polynesia, known for its proximity to Point Venus and its scenic Pacific shoreline.
  • B. Maiya
    Maiya is a reverential term used in parts of India to address or invoke a mother goddess figure, particularly in Hindu devotional contexts.
  • C. Ishka
    Ishka is a Ferengi woman from Star Trek: Deep Space Nine, notable for being Quark and Rom’s progressive, profit-savvy mother who challenges traditional Ferengi gender norms.
  • D. Lehna
    Lehna, later known as Guru Angad, was the second Sikh Guru and a key early leader in consolidating and spreading Sikhism after Guru Nanak.
  • E. Nini
    Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542ac1b48190a0cb69dbceca74da completed April 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c51007588190a79fce631c31c727 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c5d33f808190bb521cd9e6e3cc34 completed May 16, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_6a07c64396148190abecbeedbe047e5f completed May 16, 2026, 1:20 a.m.
Created at: April 10, 2026, 1:50 p.m.