Triple

T7852950
Position Surface form Disambiguated ID Type / Status
Subject Dr. Emlen Physick Jr. E182100 entity
Predicate givenName P17 FINISHED
Object Emlen
Emlen is a given name most notably associated with Dr. Emlen Physick Jr., a prominent 19th-century physician and member of a distinguished Cape May, New Jersey family.
 E695655 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: Emlen | Statement: [Dr. Emlen Physick Jr., givenName, Emlen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emlen
Context triple: [Dr. Emlen Physick Jr., givenName, Emlen]
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Eleme
    Eleme are an ethnic subgroup of the Ogoni people in Nigeria’s Rivers State, known for their distinct language and culture within the Niger Delta region.
  • C. Hemley
    Hemley is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • D. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • E. Vanselow
    Vanselow is a German-language surname borne by various individuals, including figures such as Ernst Vanselow.
  • 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: Emlen
Triple: [Dr. Emlen Physick Jr., givenName, Emlen]
Generated description
Emlen is a given name most notably associated with Dr. Emlen Physick Jr., a prominent 19th-century physician and member of a distinguished Cape May, New Jersey family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emlen
Target entity description: Emlen is a given name most notably associated with Dr. Emlen Physick Jr., a prominent 19th-century physician and member of a distinguished Cape May, New Jersey family.
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Eleme
    Eleme are an ethnic subgroup of the Ogoni people in Nigeria’s Rivers State, known for their distinct language and culture within the Niger Delta region.
  • C. Hemley
    Hemley is a small rural village and civil parish located in the county of Suffolk in eastern England.
  • D. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • E. Vanselow
    Vanselow is a German-language surname borne by various individuals, including figures such as Ernst Vanselow.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ed56d481909266d862e0ae152d completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b161a4881909641f3a29c1650b4 completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb5f1c9ef08190b1b79482f39966c7 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb767b198481909cfc1f7a44e6f0d8 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:51 p.m.