Triple
T5242307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Getty |
E118371
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object |
Town School for Boys
Town School for Boys is a private all-boys elementary and middle school in San Francisco known for serving the city’s affluent families.
|
E510636
|
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: Town School for Boys | Statement: [Andrew Getty, educatedAt, Town School for Boys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Town School for Boys Context triple: [Andrew Getty, educatedAt, Town School for Boys]
-
A.
West School
West School is a public elementary school serving students in the New Canaan, Connecticut community.
-
B.
Bishop Wordsworth’s School
Bishop Wordsworth’s School is a historic Church of England grammar school for boys located in the cathedral city of Salisbury, Wiltshire, England.
-
C.
South School
South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
-
D.
South School
South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
-
E.
Middlesex School
Middlesex School is a prestigious private coeducational boarding and day preparatory school in Concord, Massachusetts, known for its rigorous academics and notable alumni.
- 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: Town School for Boys Triple: [Andrew Getty, educatedAt, Town School for Boys]
Generated description
Town School for Boys is a private all-boys elementary and middle school in San Francisco known for serving the city’s affluent families.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Town School for Boys Target entity description: Town School for Boys is a private all-boys elementary and middle school in San Francisco known for serving the city’s affluent families.
-
A.
West School
West School is a public elementary school serving students in the New Canaan, Connecticut community.
-
B.
Bishop Wordsworth’s School
Bishop Wordsworth’s School is a historic Church of England grammar school for boys located in the cathedral city of Salisbury, Wiltshire, England.
-
C.
South School
South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
-
D.
South School
South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
-
E.
Middlesex School
Middlesex School is a prestigious private coeducational boarding and day preparatory school in Concord, Massachusetts, known for its rigorous academics and notable alumni.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4c6fa8819099442b1b110e51fb |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10ca0a1c8190a3cc0537886281e5 |
completed | March 21, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69bf1280a8e08190a99d20e50b468afb |
completed | March 21, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf12e32f248190977820dd1220db22 |
completed | March 21, 2026, 9:51 p.m. |
Created at: March 20, 2026, 1:49 p.m.