Triple

T5528087
Position Surface form Disambiguated ID Type / Status
Subject Steiner E144974 entity
Predicate hasNotableBearer P458 FINISHED
Object Stan Steiner
Stan Steiner is an American educator and author known for his work in children's literature and literacy education.
 E533285 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: Stan Steiner | Statement: [Steiner, hasNotableBearer, Stan Steiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stan Steiner
Context triple: [Steiner, hasNotableBearer, Stan Steiner]
  • A. Rick Steiner
    Rick Steiner was a prominent Broadway theatre producer known for backing numerous successful musicals and plays.
  • B. Fredric Steinkamp
    Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
  • C. Stan Salfas
    Stan Salfas is a film editor known for his work on major feature films, including the science fiction sequel "Dawn of the Planet of the Apes."
  • D. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • E. Michael Wandmacher
    Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
  • 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: Stan Steiner
Triple: [Steiner, hasNotableBearer, Stan Steiner]
Generated description
Stan Steiner is an American educator and author known for his work in children's literature and literacy education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stan Steiner
Target entity description: Stan Steiner is an American educator and author known for his work in children's literature and literacy education.
  • A. Rick Steiner
    Rick Steiner was a prominent Broadway theatre producer known for backing numerous successful musicals and plays.
  • B. Fredric Steinkamp
    Fredric Steinkamp was an American film editor best known for his acclaimed work on major Hollywood productions, including the Oscar-winning epic "Out of Africa."
  • C. Stan Salfas
    Stan Salfas is a film editor known for his work on major feature films, including the science fiction sequel "Dawn of the Planet of the Apes."
  • D. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • E. Michael Wandmacher
    Michael Wandmacher is an American film and television composer known for his work on horror and action projects, including the score for "My Bloody Valentine 3D."
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f8b6c348190b7d414dc1907d09a completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027fe1c508190b95b7b5bda96a32d completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c03c8c734c81908f6e0618f5c50fba completed March 22, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_69c03d1708708190b90723b7b0c7d45b completed March 22, 2026, 7:03 p.m.
Created at: March 22, 2026, 3:34 p.m.