Triple

T15796472
Position Surface form Disambiguated ID Type / Status
Subject Dannie Heineman E382994 entity
Predicate familyName P18 FINISHED
Object Heineman
Heineman is a surname most notably associated with Belgian-American engineer and philanthropist Dannie Heineman.
 E1176749 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: Heineman | Statement: [Dannie Heineman, familyName, Heineman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heineman
Context triple: [Dannie Heineman, familyName, Heineman]
  • A. Piatkus
    Piatkus is a UK-based publishing imprint known for its commercial fiction and non-fiction titles, particularly in romance, crime, and personal development.
  • B. Ian Ballantine
    Ian Ballantine was an influential American publisher and pioneer of mass-market paperbacks, best known for co-founding Bantam Books and later establishing Ballantine Books.
  • C. Bastei
    Bastei is a famous rock formation and viewpoint in Germany’s Saxon Switzerland National Park, overlooking the Elbe River and known for its dramatic sandstone cliffs and historic bridge.
  • D. Harcout
    Harcourt is a small rural town in central Victoria, Australia, known historically for its apple orchards and granite quarries.
  • E. Van Nostrand
    Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
  • 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: Heineman
Triple: [Dannie Heineman, familyName, Heineman]
Generated description
Heineman is a surname most notably associated with Belgian-American engineer and philanthropist Dannie Heineman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heineman
Target entity description: Heineman is a surname most notably associated with Belgian-American engineer and philanthropist Dannie Heineman.
  • A. Piatkus
    Piatkus is a UK-based publishing imprint known for its commercial fiction and non-fiction titles, particularly in romance, crime, and personal development.
  • B. Ian Ballantine
    Ian Ballantine was an influential American publisher and pioneer of mass-market paperbacks, best known for co-founding Bantam Books and later establishing Ballantine Books.
  • C. Bastei
    Bastei is a famous rock formation and viewpoint in Germany’s Saxon Switzerland National Park, overlooking the Elbe River and known for its dramatic sandstone cliffs and historic bridge.
  • D. Harcout
    Harcourt is a small rural town in central Victoria, Australia, known historically for its apple orchards and granite quarries.
  • E. Van Nostrand
    Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4dd4fd88190a77b224b4dee6541 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90aea81c8190ad8bc0cdedf4b77a completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff93b24828819092841bc02059995d completed May 9, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_69ff9435b800819093985b293a541e46 completed May 9, 2026, 8:08 p.m.
Created at: April 10, 2026, 4:48 a.m.