Triple

T7288070
Position Surface form Disambiguated ID Type / Status
Subject Lean on Me E163924 entity
Predicate writer P1360 FINISHED
Object Michael Schiffer
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
 E667966 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: Michael Schiffer | Statement: [Lean on Me, writer, Michael Schiffer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Schiffer
Context triple: [Lean on Me, writer, Michael Schiffer]
  • A. Christian Specht
    Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
  • B. Christopher Scholz
    Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
  • C. Michael Umlauf
    Michael Umlauf was a 19th-century Austrian composer, violinist, and conductor best known for co-conducting the premiere of Beethoven’s Ninth Symphony.
  • D. Peter Vinnemeier
    Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
  • E. Michael Breyer
    Michael Breyer is the son of former U.S. Supreme Court Justice Stephen G. Breyer.
  • 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: Michael Schiffer
Triple: [Lean on Me, writer, Michael Schiffer]
Generated description
Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Schiffer
Target entity description: Michael Schiffer is an American screenwriter and playwright best known for scripting films such as "Lean on Me," "Crimson Tide," and "The Peacemaker."
  • A. Christian Specht
    Christian Specht is a German politician who serves as the mayor of the city of Mannheim.
  • B. Christopher Scholz
    Christopher Scholz is a prominent geophysicist renowned for his influential work on the mechanics of earthquakes and faulting.
  • C. Michael Umlauf
    Michael Umlauf was a 19th-century Austrian composer, violinist, and conductor best known for co-conducting the premiere of Beethoven’s Ninth Symphony.
  • D. Peter Vinnemeier
    Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
  • E. Michael Breyer
    Michael Breyer is the son of former U.S. Supreme Court Justice Stephen G. Breyer.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6a73fc8190ae5ce81fd3e46d87 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c4097d88190b00a8c64ce6871e5 completed March 28, 2026, 8:38 p.m.
NEDg Description generation batch_69c83dc79fd88190ad3be8d613a6918b completed March 28, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_69c83e9189e4819093a8fe97895e2f9f completed March 28, 2026, 8:48 p.m.
Created at: March 27, 2026, 2:59 p.m.