Triple

T157986
Position Surface form Disambiguated ID Type / Status
Subject Writings E3219 entity
Predicate containsBook P5478 FINISHED
Object Daniel
Daniel is a biblical book in the Old Testament that recounts the visions and experiences of the prophet Daniel, emphasizing themes of faithfulness and divine sovereignty.
 E21909 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: Daniel | Statement: [Writings, containsBook, Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daniel
Context triple: [Writings, containsBook, Daniel]
  • A. Adam
    Adam is the first human in Abrahamic religious traditions, whose disobedience in Eden is believed to have introduced sin into the human condition.
  • B. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. David
    David is the middle name of Dwight D. Eisenhower, the 34th president of the United States and Supreme Allied Commander in Europe during World War II.
  • E. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • 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: Daniel
Triple: [Writings, containsBook, Daniel]
Generated description
Daniel is a biblical book in the Old Testament that recounts the visions and experiences of the prophet Daniel, emphasizing themes of faithfulness and divine sovereignty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daniel
Target entity description: Daniel is a biblical book in the Old Testament that recounts the visions and experiences of the prophet Daniel, emphasizing themes of faithfulness and divine sovereignty.
  • A. Adam
    Adam is the first human in Abrahamic religious traditions, whose disobedience in Eden is believed to have introduced sin into the human condition.
  • B. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. David
    David is the middle name of Dwight D. Eisenhower, the 34th president of the United States and Supreme Allied Commander in Europe during World War II.
  • E. Johan
    Johan is the given first name of J. Erik Jonsson, an American businessman and philanthropist who co-founded Texas Instruments and served as mayor of Dallas.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25bac998c819099f2bed899220a78 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2eb788a888190bbb53e82559abbf3 completed Feb. 28, 2026, 1:19 p.m.
NEDg Description generation batch_69a2ebe5644481908e221cc8724c99ae completed Feb. 28, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_69a2ec56b5208190a60feb32c732cebc completed Feb. 28, 2026, 1:23 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.