Triple
T6680494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kat |
E151965
|
entity |
| Predicate | spellingVariantOf |
P457
|
FINISHED |
| Object |
Cat (given name)
Cat is a feminine given name, often used as a short form of Catherine or related names, and can also stand alone as a modern, informal first name.
|
E48872
|
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: Cat (given name) | Statement: [Kat, spellingVariantOf, Cat (given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cat (given name) Context triple: [Kat, spellingVariantOf, Cat (given name)]
-
A.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
B.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
C.
Kitty
Kitty is a common diminutive or nickname for the given name Catherine.
-
D.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
E.
Katerina Kittycat
Katerina Kittycat is a playful, imaginative kitten and one of Daniel Tiger’s close friends in the children’s animated series "Daniel Tiger’s Neighborhood."
- 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: Cat (given name) Triple: [Kat, spellingVariantOf, Cat (given name)]
Generated description
Cat is a feminine given name, often used as a short form of Catherine or related names, and can also stand alone as a modern, informal first name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cat (given name) Target entity description: Cat is a feminine given name, often used as a short form of Catherine or related names, and can also stand alone as a modern, informal first name.
-
A.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
B.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
C.
Kitty
chosen
Kitty is a common diminutive or nickname for the given name Catherine.
-
D.
Kitty
"Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
-
E.
Katerina Kittycat
Katerina Kittycat is a playful, imaginative kitten and one of Daniel Tiger’s close friends in the children’s animated series "Daniel Tiger’s Neighborhood."
- F. None of above.
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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b11df8d88190bf19fcb4e7a0bdb3 |
completed | March 27, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7a9fda4819096d4bd3e8133cecb |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8b1e1f48190bc9058a8a21a4a62 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f9441d74819098f0639a29fdeb5e |
completed | March 27, 2026, 9:40 p.m. |
Created at: March 27, 2026, 2:04 p.m.