Triple

T10837239
Position Surface form Disambiguated ID Type / Status
Subject Berta E255792 entity
Predicate alternativeName P39 FINISHED
Object Bertinya
Bertinya is an alternative name or diminutive form of the given name Berta.
 E889284 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: Bertinya | Statement: [Berta, alternativeName, Bertinya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bertinya
Context triple: [Berta, alternativeName, Bertinya]
  • A. Die Bertinis
    Die Bertinis is a German television miniseries based on Ralph Giordano’s semi-autobiographical novel about a Jewish-Italian family in Hamburg during the Nazi era.
  • B. Bert: The Last Virgin
    Bert: The Last Virgin is a Swedish coming-of-age comedy film centered on the romantic and social misadventures of a teenage boy.
  • C. Bered
    Bered is a lesser-known biblical locality mentioned in the Book of Genesis, situated in the Negev region along the route between Canaan and Egypt.
  • D. Toinette
    Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
  • E. Bent
    Bent is an English electronic music duo known for their downtempo, chillout, and sample-heavy productions that gained prominence in the early 2000s.
  • 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: Bertinya
Triple: [Berta, alternativeName, Bertinya]
Generated description
Bertinya is an alternative name or diminutive form of the given name Berta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bertinya
Target entity description: Bertinya is an alternative name or diminutive form of the given name Berta.
  • A. Die Bertinis
    Die Bertinis is a German television miniseries based on Ralph Giordano’s semi-autobiographical novel about a Jewish-Italian family in Hamburg during the Nazi era.
  • B. Bert: The Last Virgin
    Bert: The Last Virgin is a Swedish coming-of-age comedy film centered on the romantic and social misadventures of a teenage boy.
  • C. Bered
    Bered is a lesser-known biblical locality mentioned in the Book of Genesis, situated in the Negev region along the route between Canaan and Egypt.
  • D. Toinette
    Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
  • E. Bent
    Bent is an English electronic music duo known for their downtempo, chillout, and sample-heavy productions that gained prominence in the early 2000s.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
NEDg Description generation batch_69dec2534728819095b3693120772da9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec79b1b548190a74312284f98551c completed April 14, 2026, 11:02 p.m.
Created at: April 8, 2026, 9:19 p.m.