Triple

T12405231
Position Surface form Disambiguated ID Type / Status
Subject Miss Read E296367 entity
Predicate notableWork P4 FINISHED
Object Village School
"Village School" is a gentle, nostalgic novel by Miss Read that portrays the everyday life, characters, and rhythms of an English rural primary school and its surrounding village community.
E981826 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: Village School | Statement: [Miss Read, notableWork, Village School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Village School
Context triple: [Miss Read, notableWork, Village School]
  • A. Village School
    Village School is an elementary school serving young students in the West Windsor-Plainsboro area of New Jersey.
  • B. Village Elementary School
    Village Elementary School is a public primary school serving young students in Montgomery Township, New Jersey.
  • C. Village Elementary School
    Village Elementary School is a public primary school serving young students in the Syosset, New York community.
  • D. Village Christian Schools
    Village Christian Schools is a private Christian K–12 school in Sun Valley, California, known for its college-preparatory academics and notable alumni.
  • E. Union School
    Union School is a public elementary school serving students in the town of Farmington, Connecticut.
  • 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: Village School
Triple: [Miss Read, notableWork, Village School]
Generated description
"Village School" is a gentle, nostalgic novel by Miss Read that portrays the everyday life, characters, and rhythms of an English rural primary school and its surrounding village community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Village School
Target entity description: "Village School" is a gentle, nostalgic novel by Miss Read that portrays the everyday life, characters, and rhythms of an English rural primary school and its surrounding village community.
  • A. Village School
    Village School is an elementary school serving young students in the West Windsor-Plainsboro area of New Jersey.
  • B. Village Elementary School
    Village Elementary School is a public primary school serving young students in Montgomery Township, New Jersey.
  • C. Village Elementary School
    Village Elementary School is a public primary school serving young students in the Syosset, New York community.
  • D. Village Christian Schools
    Village Christian Schools is a private Christian K–12 school in Sun Valley, California, known for its college-preparatory academics and notable alumni.
  • E. Union School
    Union School is a public elementary school serving students in the town of Farmington, Connecticut.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d48f1908190918551c794f98fe3 completed April 10, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63486d1b881908d94218d2c391123 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f637575a9c8190b677b59e9739af49 completed May 2, 2026, 5:41 p.m.
NED2 Entity disambiguation (via description) batch_69f6380223d08190959e524ad146d0e0 completed May 2, 2026, 5:44 p.m.
Created at: April 8, 2026, 9:55 p.m.