Triple
T19648454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Erskine |
E471741
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Crossroads School |
—
|
NE NERFINISHED |
How this triple was built (2 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: Crossroads School | Statement: [Maya Erskine, educatedAt, Crossroads School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crossroads School Context triple: [Maya Erskine, educatedAt, Crossroads School]
-
A.
Crossroads School
chosen
Crossroads School is a progressive, arts-focused independent school in Santa Monica, California, known for educating numerous students who go on to careers in the entertainment industry.
-
B.
Crossroads Middle School
Crossroads Middle School is a public middle school serving students in the South Brunswick Township area of New Jersey.
-
C.
South School
South School is a public elementary school serving young students in the town of Stoneham, Massachusetts.
-
D.
South School
South School is a public elementary school serving early-grade students in the New Canaan, Connecticut community.
-
E.
Sheehan School
Sheehan School is a public elementary school serving young students in the town of Westwood, Massachusetts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64126cea88190a1a6929f46de4686 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.