Triple

T21898509
Position Surface form Disambiguated ID Type / Status
Subject Rachel Lapp E540746 entity
Predicate child P120 FINISHED
Object Samuel Lapp
Samuel Lapp is a young Amish boy featured in the film "Witness," known for being the son of Rachel Lapp and a key witness to a murder.
 E825057 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: Samuel Lapp | Statement: [Rachel Lapp, child, Samuel Lapp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samuel Lapp
Context triple: [Rachel Lapp, child, Samuel Lapp]
  • A. Samuel Lapp
    Samuel Lapp is a young Amish boy in the film "Witness," whose accidental observation of a murder drives the story’s central conflict.
  • B. Samuel Diescher
    Samuel Diescher was a prominent 19th-century civil and mechanical engineer known for designing several American inclines and industrial structures, particularly in Pittsburgh.
  • C. Samuel Baum
    Samuel Baum is a television writer and producer best known for creating the crime drama series "Lie to Me."
  • D. Samuel Blum
    Samuel Blum is a relatively obscure individual whose specific notability is not clearly established from the given information.
  • E. Samuel Joseph
    Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
  • 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: Samuel Lapp
Triple: [Rachel Lapp, child, Samuel Lapp]
Generated description
Samuel Lapp is a young Amish boy featured in the film "Witness," known for being the son of Rachel Lapp and a key witness to a murder.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samuel Lapp
Target entity description: Samuel Lapp is a young Amish boy featured in the film "Witness," known for being the son of Rachel Lapp and a key witness to a murder.
  • A. Samuel Lapp chosen
    Samuel Lapp is a young Amish boy in the film "Witness," whose accidental observation of a murder drives the story’s central conflict.
  • B. Samuel Diescher
    Samuel Diescher was a prominent 19th-century civil and mechanical engineer known for designing several American inclines and industrial structures, particularly in Pittsburgh.
  • C. Samuel Baum
    Samuel Baum is a television writer and producer best known for creating the crime drama series "Lie to Me."
  • D. Samuel Blum
    Samuel Blum is a relatively obscure individual whose specific notability is not clearly established from the given information.
  • E. Samuel Joseph
    Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
  • F. None of above.

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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc8c2108190b55ff1ba3badc9fb completed April 28, 2026, 8:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a5a03382c819096fc1806717b1c23 completed May 18, 2026, 12:14 a.m.
NEDg Description generation batch_6a0a5a967d28819084a37207e17d4f68 completed May 18, 2026, 12:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0a5b24f6708190bfe903dceb0e9210 completed May 18, 2026, 12:19 a.m.
Created at: April 16, 2026, 7:07 p.m.