Triple

T8145955
Position Surface form Disambiguated ID Type / Status
Subject Arlen Specter E190211 entity
Predicate educatedAt P5 FINISHED
Object Russell High School
Russell High School is an American secondary school notable for being among the early educational institutions attended by future U.S. Senator Arlen Specter.
 E722543 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: Russell High School | Statement: [Arlen Specter, educatedAt, Russell High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Russell High School
Context triple: [Arlen Specter, educatedAt, Russell High School]
  • A. Union High School
    Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
  • B. Union High School
    Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
  • C. Grant High School
    Grant High School is a secondary school that serves students from the Grant Park area.
  • D. Washington High School
    Washington High School is a public secondary school in California that serves students in the Fremont Unified School District.
  • E. Wilson High School
    Wilson High School is a public secondary school in Washington, D.C., known for serving students from the Tenleytown area and beyond.
  • 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: Russell High School
Triple: [Arlen Specter, educatedAt, Russell High School]
Generated description
Russell High School is an American secondary school notable for being among the early educational institutions attended by future U.S. Senator Arlen Specter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Russell High School
Target entity description: Russell High School is an American secondary school notable for being among the early educational institutions attended by future U.S. Senator Arlen Specter.
  • A. Union High School
    Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
  • B. Union High School
    Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
  • C. Grant High School
    Grant High School is a secondary school that serves students from the Grant Park area.
  • D. Washington High School
    Washington High School is a public secondary school in California that serves students in the Fremont Unified School District.
  • E. Wilson High School
    Wilson High School is a public secondary school in Washington, D.C., known for serving students from the Tenleytown area and beyond.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4447dbc48190affb0f34f6c85f5a completed March 31, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd679a353c8190abe30eb7db13c072 completed April 1, 2026, 6:44 p.m.
NEDg Description generation batch_69cd6c1f75748190b119acd0d92f2ef9 completed April 1, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_69cd7da4f3a0819080eed3d03c293789 completed April 1, 2026, 8:18 p.m.
Created at: March 30, 2026, 5:36 p.m.