Triple

T13518129
Position Surface form Disambiguated ID Type / Status
Subject Rudy Steiner E322820 entity
Predicate hasSibling P363 FINISHED
Object Emma Steiner
Emma Steiner is a fictional character known as the sister of Rudy Steiner in Markus Zusak's novel "The Book Thief."
E1079043 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: Emma Steiner | Statement: [Rudy Steiner, hasSibling, Emma Steiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Steiner
Context triple: [Rudy Steiner, hasSibling, Emma Steiner]
  • A. Anna Steiger
    Anna Steiger is a British operatic mezzo-soprano known for her performances with major European opera companies and for being the daughter of actress Claire Bloom and actor Rod Steiger.
  • B. Amy Stechler
    Amy Stechler is an American documentary filmmaker and editor known for her early collaborations with Ken Burns on historical films.
  • C. Daisy Steiner
    Daisy Steiner is a quirky, aspiring writer and journalist who serves as one of the two main protagonists in the British sitcom "Spaced."
  • D. Jan Stevens
    Jan Stevens is a composer best known for creating music for the television series "Scrubs."
  • E. Christina Steinberg
    Christina Steinberg is an American film producer best known for her work on acclaimed animated features, including the Oscar-winning "Spider-Man: Into the Spider-Verse."
  • 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: Emma Steiner
Triple: [Rudy Steiner, hasSibling, Emma Steiner]
Generated description
Emma Steiner is a fictional character known as the sister of Rudy Steiner in Markus Zusak's novel "The Book Thief."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emma Steiner
Target entity description: Emma Steiner is a fictional character known as the sister of Rudy Steiner in Markus Zusak's novel "The Book Thief."
  • A. Anna Steiger
    Anna Steiger is a British operatic mezzo-soprano known for her performances with major European opera companies and for being the daughter of actress Claire Bloom and actor Rod Steiger.
  • B. Amy Stechler
    Amy Stechler is an American documentary filmmaker and editor known for her early collaborations with Ken Burns on historical films.
  • C. Daisy Steiner
    Daisy Steiner is a quirky, aspiring writer and journalist who serves as one of the two main protagonists in the British sitcom "Spaced."
  • D. Jan Stevens
    Jan Stevens is a composer best known for creating music for the television series "Scrubs."
  • E. Christina Steinberg
    Christina Steinberg is an American film producer best known for her work on acclaimed animated features, including the Oscar-winning "Spider-Man: Into the Spider-Verse."
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa27f048190bed33a98e28c8d09 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd08698e0819084f3098d471e7dc9 completed May 7, 2026, 5:48 p.m.
NEDg Description generation batch_69fcd176632c8190aa7dee337688b043 completed May 7, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69fcd28c1f0c819083b934a6afd656bf completed May 7, 2026, 5:57 p.m.
Created at: April 9, 2026, 9:44 p.m.