Triple

T11965850
Position Surface form Disambiguated ID Type / Status
Subject The Creation E284787 entity
Predicate character P662 FINISHED
Object Adam
Adam is the first man in the biblical creation narrative, formed by God and placed in the Garden of Eden as the progenitor of humankind.
E20531 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: Adam | Statement: [The Creation, character, Adam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam
Context triple: [The Creation, character, Adam]
  • A. Adam
    Adam is a reclusive, centuries-old vampire musician and one of the two melancholic immortal lovers at the center of Jim Jarmusch’s film "Only Lovers Left Alive."
  • B. Adam
    Adam is a common surname of Scottish and English origin, borne by various notable individuals including architects, politicians, and artists.
  • C. Adam
    "Adam" is a 1983 American television film based on the true story of the kidnapping and murder of Adam Walsh, in which JoBeth Williams stars as the boy’s mother.
  • D. Adam
    Adam is a popular stochastic optimization algorithm widely used to train deep learning models by adaptively adjusting learning rates for each parameter.
  • E. Adam
    Adam is a widely used stochastic optimization algorithm in machine learning that combines ideas from momentum and adaptive learning rates to efficiently train deep neural networks.
  • 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: Adam
Triple: [The Creation, character, Adam]
Generated description
Adam is the first man in the biblical creation narrative, formed by God and placed in the Garden of Eden as the progenitor of humankind.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adam
Target entity description: Adam is the first man in the biblical creation narrative, formed by God and placed in the Garden of Eden as the progenitor of humankind.
  • A. Adam chosen
    Adam is the first human in Abrahamic religious traditions, whose disobedience in Eden is believed to have introduced sin into the human condition.
  • B. Adam
    Adam is a masculine given name of Hebrew origin, commonly used in many cultures and languages.
  • C. Adam
    Adam is a renowned sculpture by Auguste Rodin, notable for its expressive depiction of the biblical figure and housed in the Rodin Museum.
  • D. Adam
    Adam is a loyal, elderly servant in William Shakespeare’s comedy "As You Like It," known for his devotion and generosity toward Orlando.
  • E. Adam
    Adam is the reanimated creature who serves as the central monster figure in the horror film "I, Frankenstein."
  • F. None of above.

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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903799f948190a5dc4d3822f3ff27 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f45952f69c8190a8c7f3c327ea1a63 completed May 1, 2026, 7:42 a.m.
NEDg Description generation batch_69f45f89d5b08190a87312d96e61898a completed May 1, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69f464a5191881908e291943996169cb completed May 1, 2026, 8:30 a.m.
Created at: April 8, 2026, 9:46 p.m.