Triple

T6827757
Position Surface form Disambiguated ID Type / Status
Subject El libro de arena E157058 entity
Predicate hasPart P35 FINISHED
Object Ulrica
Ulrica is a short story by Argentine writer Jorge Luis Borges, included in his collection "El libro de arena," that explores themes of love, identity, and the uncanny through a brief, enigmatic encounter.
 E622074 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: Ulrica | Statement: [El libro de arena, hasPart, Ulrica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ulrica
Context triple: [El libro de arena, hasPart, Ulrica]
  • A. Ulf
    Ulf is a masculine given name of Germanic origin, commonly used in German and Scandinavian countries.
  • B. Henrike
    Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
  • C. Olof
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • D. Ottla
    Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
  • E. Svante
    Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
  • 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: Ulrica
Triple: [El libro de arena, hasPart, Ulrica]
Generated description
Ulrica is a short story by Argentine writer Jorge Luis Borges, included in his collection "El libro de arena," that explores themes of love, identity, and the uncanny through a brief, enigmatic encounter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ulrica
Target entity description: Ulrica is a short story by Argentine writer Jorge Luis Borges, included in his collection "El libro de arena," that explores themes of love, identity, and the uncanny through a brief, enigmatic encounter.
  • A. Ulf
    Ulf is a masculine given name of Germanic origin, commonly used in German and Scandinavian countries.
  • B. Henrike
    Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
  • C. Olof
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • D. Ottla
    Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
  • E. Svante
    Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
  • 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_69c6882a5b5c8190917a7db9ed36bad1 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d58583a4819099edbf753c7c7087 completed March 27, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723f49bdc8190af39b34dbaf3f0c9 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724d7f0308190abb494ea663ceeb9 completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c72568866c8190bf88a02e566d5c3a completed March 28, 2026, 12:48 a.m.
Created at: March 27, 2026, 2:18 p.m.