Triple

T10630683
Position Surface form Disambiguated ID Type / Status
Subject Tamara E250443 entity
Predicate hasDiminutive P456 FINISHED
Object Tama
Tama is a diminutive form of the given name Tamara, often used as a familiar or affectionate nickname.
 E875181 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: Tama | Statement: [Tamara, hasDiminutive, Tama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tama
Context triple: [Tamara, hasDiminutive, Tama]
  • A. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • B. Tama
    Tama was a Japanese light cruiser of the Imperial Japanese Navy that served in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • C. Tama
    Tama is a small city in central Iowa known for its proximity to the Meskwaki Settlement and its role as a local agricultural and community hub.
  • D. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • E. Taura
    Taura is a small municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • 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: Tama
Triple: [Tamara, hasDiminutive, Tama]
Generated description
Tama is a diminutive form of the given name Tamara, often used as a familiar or affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tama
Target entity description: Tama is a diminutive form of the given name Tamara, often used as a familiar or affectionate nickname.
  • A. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • B. Tama
    Tama was a Japanese light cruiser of the Imperial Japanese Navy that served in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • C. Tama
    Tama is a small city in central Iowa known for its proximity to the Meskwaki Settlement and its role as a local agricultural and community hub.
  • D. Takaro
    Takaro is a residential suburb located within the city of Palmerston North in New Zealand.
  • E. Taura
    Taura is a small municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df93a2b88190a0f3a52b8e88f54f completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bb4bbf08190994ea9123c0b2dab completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d96df03c2881909af8501ecf6ac180 completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96f063d588190adcfd56b2b0afccf completed April 10, 2026, 9:43 p.m.
Created at: April 8, 2026, 9:01 p.m.