Triple

T11607472
Position Surface form Disambiguated ID Type / Status
Subject Elisabeth Eybers E275299 entity
Predicate notableWork P4 FINISHED
Object Onderdak
Onderdak is a notable Afrikaans poetry collection by South African poet Elisabeth Eybers.
 E936450 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: Onderdak | Statement: [Elisabeth Eybers, notableWork, Onderdak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Onderdak
Context triple: [Elisabeth Eybers, notableWork, Onderdak]
  • A. The Shelter
    "The Shelter" is a 1961 episode of the anthology television series The Twilight Zone that explores Cold War paranoia and the dark side of human nature when neighbors turn against each other over access to a fallout shelter.
  • B. Shelter
    "Shelter" is a song by the electronic music producer Porter Robinson and French DJ Madeon, known for its emotional lyrics and acclaimed animated music video.
  • C. The Roof
    "The Roof" is a song by Mariah Carey, known for its smooth R&B production and vivid storytelling about a romantic encounter.
  • D. Out from Under
    "Out from Under" is a song by the American pop group Circus, featured as one of the tracks on their music releases.
  • E. La barraca
    La barraca is a naturalist novel by Spanish writer Vicente Blasco Ibáñez that portrays the harsh rural life and social conflicts of Valencian peasants.
  • 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: Onderdak
Triple: [Elisabeth Eybers, notableWork, Onderdak]
Generated description
Onderdak is a notable Afrikaans poetry collection by South African poet Elisabeth Eybers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Onderdak
Target entity description: Onderdak is a notable Afrikaans poetry collection by South African poet Elisabeth Eybers.
  • A. The Shelter
    "The Shelter" is a 1961 episode of the anthology television series The Twilight Zone that explores Cold War paranoia and the dark side of human nature when neighbors turn against each other over access to a fallout shelter.
  • B. Shelter
    "Shelter" is a song by the electronic music producer Porter Robinson and French DJ Madeon, known for its emotional lyrics and acclaimed animated music video.
  • C. The Roof
    "The Roof" is a song by Mariah Carey, known for its smooth R&B production and vivid storytelling about a romantic encounter.
  • D. Out from Under
    "Out from Under" is a song by the American pop group Circus, featured as one of the tracks on their music releases.
  • E. La barraca
    La barraca is a naturalist novel by Spanish writer Vicente Blasco Ibáñez that portrays the harsh rural life and social conflicts of Valencian peasants.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89551649c81908096ff392677442d completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a82381708190aa0e674603d5778a completed April 22, 2026, 10:51 a.m.
NEDg Description generation batch_69e8af9665648190b7732076aa129671 completed April 22, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69ee5b3a3720819095a4a87176e052cb completed April 26, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:38 p.m.