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.