Triple

T6243446
Position Surface form Disambiguated ID Type / Status
Subject Judd Apatow E139657 entity
Predicate educatedAt P5 FINISHED
Object Syosset High School
Syosset High School is a public high school in Syosset, New York, known for its strong academics and notable alumni in entertainment, business, and public life.
 E578954 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: Syosset High School | Statement: [Judd Apatow, educatedAt, Syosset High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Syosset High School
Context triple: [Judd Apatow, educatedAt, Syosset High School]
  • A. Bow High School
    Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
  • B. Blume High School
    Blume High School is an educational institution best known as the high school attended by astronaut and first Moon-walker Neil A. Armstrong.
  • C. Oberon High School
    Oberon High School is a secondary education institution serving students in the town of Oberon, New South Wales, Australia.
  • D. Union High School
    Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
  • E. Union High School
    Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
  • 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: Syosset High School
Triple: [Judd Apatow, educatedAt, Syosset High School]
Generated description
Syosset High School is a public high school in Syosset, New York, known for its strong academics and notable alumni in entertainment, business, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Syosset High School
Target entity description: Syosset High School is a public high school in Syosset, New York, known for its strong academics and notable alumni in entertainment, business, and public life.
  • A. Bow High School
    Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
  • B. Blume High School
    Blume High School is an educational institution best known as the high school attended by astronaut and first Moon-walker Neil A. Armstrong.
  • C. Oberon High School
    Oberon High School is a secondary education institution serving students in the town of Oberon, New South Wales, Australia.
  • D. Union High School
    Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
  • E. Union High School
    Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631b32308190a8211043d1caa6e6 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e12fa248190ad9daaf9563d38c6 completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c214aaef308190be1166c1389bf3d3 completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c21508dbec8190b9bb4806a83ecb13 completed March 24, 2026, 4:37 a.m.
Created at: March 22, 2026, 4:23 p.m.