Triple

T4011356
Position Surface form Disambiguated ID Type / Status
Subject The American President E90650 entity
Predicate producer P490 FINISHED
Object Lawrence Mark
Lawrence Mark is an American film and television producer known for acclaimed movies such as "Jerry Maguire," "As Good as It Gets," and "Dreamgirls."
 E414243 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: Lawrence Mark | Statement: [The American President, producer, Lawrence Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lawrence Mark
Context triple: [The American President, producer, Lawrence Mark]
  • A. Lawrence Guth
    Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
  • B. Lawrence Smith
    Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
  • C. Lawrence Gordon
    Lawrence Gordon is an American film producer known for his work on major Hollywood action, horror, and fantasy films, including the Hellboy series.
  • D. Philip Lawrence
    Philip Lawrence is an American songwriter and producer best known for his extensive collaborations with Bruno Mars on numerous hit songs.
  • E. Lawrence Fassett
    Lawrence Fassett is a manipulative CIA operative who orchestrates a deadly surveillance scheme in Robert Ludlum’s thriller "The Osterman Weekend."
  • 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: Lawrence Mark
Triple: [The American President, producer, Lawrence Mark]
Generated description
Lawrence Mark is an American film and television producer known for acclaimed movies such as "Jerry Maguire," "As Good as It Gets," and "Dreamgirls."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lawrence Mark
Target entity description: Lawrence Mark is an American film and television producer known for acclaimed movies such as "Jerry Maguire," "As Good as It Gets," and "Dreamgirls."
  • A. Lawrence Guth
    Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
  • B. Lawrence Smith
    Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
  • C. Lawrence Gordon
    Lawrence Gordon is an American film producer known for his work on major Hollywood action, horror, and fantasy films, including the Hellboy series.
  • D. Philip Lawrence
    Philip Lawrence is an American songwriter and producer best known for his extensive collaborations with Bruno Mars on numerous hit songs.
  • E. Lawrence Fassett
    Lawrence Fassett is a manipulative CIA operative who orchestrates a deadly surveillance scheme in Robert Ludlum’s thriller "The Osterman Weekend."
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa882cbc8190a1c496bc6d138bdf completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b47294c8190871f4a6a57b3470f completed March 14, 2026, 2:05 p.m.
NEDg Description generation batch_69b56f0f94c08190b92deb5373c525e5 completed March 14, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69b56fee67088190ab9a42ccac03d10f completed March 14, 2026, 2:25 p.m.
Created at: March 9, 2026, 3:34 p.m.