Triple

T14897432
Position Surface form Disambiguated ID Type / Status
Subject Dulce María Loynaz E359914 entity
Predicate familyName P18 FINISHED
Object Loynaz
Loynaz is the surname of Dulce María Loynaz, a renowned Cuban poet and winner of the Cervantes Prize.
E1125201 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: Loynaz | Statement: [Dulce María Loynaz, familyName, Loynaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loynaz
Context triple: [Dulce María Loynaz, familyName, Loynaz]
  • A. Yarith
    Yarith is a planet located within the Anoat sector of the Star Wars galaxy.
  • B. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • C. Renaelva
    Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
  • D. Leanyer
    Leanyer is a residential suburb in the northern part of Darwin, Northern Territory, known for its family-friendly amenities and proximity to major urban services.
  • E. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • 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: Loynaz
Triple: [Dulce María Loynaz, familyName, Loynaz]
Generated description
Loynaz is the surname of Dulce María Loynaz, a renowned Cuban poet and winner of the Cervantes Prize.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loynaz
Target entity description: Loynaz is the surname of Dulce María Loynaz, a renowned Cuban poet and winner of the Cervantes Prize.
  • A. Yarith
    Yarith is a planet located within the Anoat sector of the Star Wars galaxy.
  • B. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • C. Renaelva
    Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
  • D. Leanyer
    Leanyer is a residential suburb in the northern part of Darwin, Northern Territory, known for its family-friendly amenities and proximity to major urban services.
  • E. Lelylaan
    Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6084574819098033a9723f3e1c4 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b6966e88190a0ed475b22a77cf1 completed May 8, 2026, 11:02 p.m.
NEDg Description generation batch_69fe6d199298819081207e27dfdf485f completed May 8, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69fe6de49480819087b36c070c434bf7 completed May 8, 2026, 11:12 p.m.
Created at: April 10, 2026, 2:11 a.m.