Triple

T202497
Position Surface form Disambiguated ID Type / Status
Subject Elie Wiesel E4534 entity
Predicate notableWork P4 FINISHED
Object Dawn
Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
 E27251 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: Dawn | Statement: [Elie Wiesel, notableWork, Dawn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dawn
Context triple: [Elie Wiesel, notableWork, Dawn]
  • A. Madruga
    Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
  • B. The Light
    The Light is a notable work by the rapper Common, showcasing his introspective lyricism and soulful, jazz-influenced hip-hop style.
  • C. Ascension
    Ascension is a major Christian feast commemorating Jesus Christ’s bodily ascent into heaven 40 days after his resurrection.
  • D. Paradise
    "Paradise" is a 1997 novel by Nobel Prize–winning author Toni Morrison that explores race, gender, community, and violence in an all-Black town in Oklahoma.
  • E. Fiat Lux
    Fiat Lux is a Latin phrase meaning "Let there be light," used as the inspirational motto of the University of California, Berkeley.
  • 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: Dawn
Triple: [Elie Wiesel, notableWork, Dawn]
Generated description
Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dawn
Target entity description: Dawn is a novel by Elie Wiesel that explores the moral and psychological struggles of a young Holocaust survivor involved in a Jewish underground movement in British-controlled Palestine.
  • A. Madruga
    Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
  • B. The Light
    The Light is a notable work by the rapper Common, showcasing his introspective lyricism and soulful, jazz-influenced hip-hop style.
  • C. Ascension
    Ascension is a major Christian feast commemorating Jesus Christ’s bodily ascent into heaven 40 days after his resurrection.
  • D. Paradise
    "Paradise" is a 1997 novel by Nobel Prize–winning author Toni Morrison that explores race, gender, community, and violence in an all-Black town in Oklahoma.
  • E. Fiat Lux
    Fiat Lux is a Latin phrase meaning "Let there be light," used as the inspirational motto of the University of California, Berkeley.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25be7337481909f4937fc1a06fb53 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a338e6c2bc81908fbc7402770ab35b completed Feb. 28, 2026, 6:50 p.m.
NEDg Description generation batch_69a33b028fc481908a91d70289bd485a completed Feb. 28, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69a33b6580888190b3ebc9704f3e016a completed Feb. 28, 2026, 7 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.