Triple

T10688247
Position Surface form Disambiguated ID Type / Status
Subject Lansdale, Pennsylvania E251937 entity
Predicate namedFor P63 FINISHED
Object Philip Lansdale
Philip Lansdale was a U.S. Navy officer after whom the borough of Lansdale, Pennsylvania, was named.
 E879139 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: Philip Lansdale | Statement: [Lansdale, Pennsylvania, namedFor, Philip Lansdale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Philip Lansdale
Context triple: [Lansdale, Pennsylvania, namedFor, Philip Lansdale]
  • A. Geoffrey Jellicoe
    Geoffrey Jellicoe was a prominent British landscape architect and garden designer known for his influential 20th-century public and private landscape projects.
  • B. Lawrence Crawford
    Lawrence Crawford was a 17th-century Scottish soldier of fortune who served as a major-general in the Parliamentarian army during the English Civil War.
  • C. Fletcher Marron
    Fletcher Marron is the young son of superstar singer and actress Rachel Marron in the film "The Bodyguard."
  • D. Richard Chiswell
    Richard Chiswell was a prominent 17th-century London bookseller and publisher known for issuing important works of theology, history, and travel.
  • E. Charlie Hill
    Charlie Hill is a central male character in the musical comedy "The Belle of New York," typically portrayed as a charming young man entangled in romantic and comedic misadventures.
  • 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: Philip Lansdale
Triple: [Lansdale, Pennsylvania, namedFor, Philip Lansdale]
Generated description
Philip Lansdale was a U.S. Navy officer after whom the borough of Lansdale, Pennsylvania, was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Philip Lansdale
Target entity description: Philip Lansdale was a U.S. Navy officer after whom the borough of Lansdale, Pennsylvania, was named.
  • A. Geoffrey Jellicoe
    Geoffrey Jellicoe was a prominent British landscape architect and garden designer known for his influential 20th-century public and private landscape projects.
  • B. Lawrence Crawford
    Lawrence Crawford was a 17th-century Scottish soldier of fortune who served as a major-general in the Parliamentarian army during the English Civil War.
  • C. Fletcher Marron
    Fletcher Marron is the young son of superstar singer and actress Rachel Marron in the film "The Bodyguard."
  • D. Richard Chiswell
    Richard Chiswell was a prominent 17th-century London bookseller and publisher known for issuing important works of theology, history, and travel.
  • E. Charlie Hill
    Charlie Hill is a central male character in the musical comedy "The Belle of New York," typically portrayed as a charming young man entangled in romantic and comedic misadventures.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd19f0f481909eeaa75d17d9c060 completed April 9, 2026, 1:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9889d1f988190938be54771161b00 completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aeb82988190a17b009c74279423 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c2aae048190b348e5614ff23f03 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:11 p.m.