Triple

T4292675
Position Surface form Disambiguated ID Type / Status
Subject Kurt Student E99632 entity
Predicate familyName P18 FINISHED
Object Student
Student is a common surname that can be held by individuals such as Kurt Student, a notable historical figure.
 E429742 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: Student | Statement: [Kurt Student, familyName, Student]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Student
Context triple: [Kurt Student, familyName, Student]
  • A. College Green
    College Green is a historic public square in central Dublin, Ireland, known as a civic and commercial hub surrounded by landmark buildings including Trinity College Dublin.
  • B. The Student
    The Student is a fictional character in Henry Wadsworth Longfellow’s narrative poem collection "Tales of a Wayside Inn," representing one of the storytellers gathered at the inn.
  • C. Young High School
    Young High School is an educational institution serving secondary-level students in the community of Young.
  • D. Youth
    "Youth" is a section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
  • E. Youth
    "Youth" is a melancholic, synth-driven indie pop song by British band Glass Animals that reflects on nostalgia, loss, and the fragility of childhood.
  • 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: Student
Triple: [Kurt Student, familyName, Student]
Generated description
Student is a common surname that can be held by individuals such as Kurt Student, a notable historical figure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Student
Target entity description: Student is a common surname that can be held by individuals such as Kurt Student, a notable historical figure.
  • A. College Green
    College Green is a historic public square in central Dublin, Ireland, known as a civic and commercial hub surrounded by landmark buildings including Trinity College Dublin.
  • B. The Student
    The Student is a fictional character in Henry Wadsworth Longfellow’s narrative poem collection "Tales of a Wayside Inn," representing one of the storytellers gathered at the inn.
  • C. Young High School
    Young High School is an educational institution serving secondary-level students in the community of Young.
  • D. Youth
    "Youth" is a section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
  • E. Youth
    "Youth" is a melancholic, synth-driven indie pop song by British band Glass Animals that reflects on nostalgia, loss, and the fragility of childhood.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3508035a08190b752c8edce0aff86 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c739df2c8190af6f8d9bf36afca8 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5cb0529f881908ec004a07c47306e completed March 14, 2026, 8:54 p.m.
NED2 Entity disambiguation (via description) batch_69b5cba3a41481908622509478184052 completed March 14, 2026, 8:57 p.m.
Created at: March 12, 2026, 11:08 p.m.