Triple

T6042903
Position Surface form Disambiguated ID Type / Status
Subject Stephen Foster E134591 entity
Predicate notableWork P4 FINISHED
Object Jeanie with the Light Brown Hair
"Jeanie with the Light Brown Hair" is a popular 19th-century American parlor song known for its sentimental melody and lyrics, composed by Stephen Foster.
E563145 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: Jeanie with the Light Brown Hair | Statement: [Stephen Foster, notableWork, Jeanie with the Light Brown Hair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeanie with the Light Brown Hair
Context triple: [Stephen Foster, notableWork, Jeanie with the Light Brown Hair]
  • A. Jeanie
    Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
  • B. Janice
    Janice is a feminine given name commonly used in English-speaking countries.
  • C. Jeni
    Jeni is a common shortened form or nickname for the given name Jennifer.
  • D. Jennie
    Jennie is a feminine given name commonly used as a diminutive or variant of Jennifer.
  • E. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • 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: Jeanie with the Light Brown Hair
Triple: [Stephen Foster, notableWork, Jeanie with the Light Brown Hair]
Generated description
"Jeanie with the Light Brown Hair" is a popular 19th-century American parlor song known for its sentimental melody and lyrics, composed by Stephen Foster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeanie with the Light Brown Hair
Target entity description: "Jeanie with the Light Brown Hair" is a popular 19th-century American parlor song known for its sentimental melody and lyrics, composed by Stephen Foster.
  • A. Jeanie
    Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
  • B. Janice
    Janice is a feminine given name commonly used in English-speaking countries.
  • C. Jeni
    Jeni is a common shortened form or nickname for the given name Jennifer.
  • D. Jennie
    Jennie is a feminine given name commonly used as a diminutive or variant of Jennifer.
  • E. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e108fc81908775d176ff960fad completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139b44888190bfa12d19e99ee673 completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c11449a00081908e8e91790079da93 completed March 23, 2026, 10:22 a.m.
NED2 Entity disambiguation (via description) batch_69c114c85c0c8190934adc20ddd1898f completed March 23, 2026, 10:24 a.m.
Created at: March 22, 2026, 4:08 p.m.