Triple
T15358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Zuckerberg |
E306
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object |
Ardsley High School
Ardsley High School is a public high school in Ardsley, New York, known in part for having been attended by Facebook co-founder Mark Zuckerberg.
|
E7438
|
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: Ardsley High School | Statement: [Mark Zuckerberg, educatedAt, Ardsley High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ardsley High School Context triple: [Mark Zuckerberg, educatedAt, Ardsley High School]
-
A.
Belmont High School
Belmont High School is a public secondary school serving students in the suburban community of Belmont, Massachusetts.
-
B.
Harborfields Central School District
Harborfields Central School District is a public school district serving students in the Huntington area of Long Island, New York.
-
C.
Butler School
Butler School is a public elementary school serving young students in the town of Belmont, Massachusetts.
-
D.
Burbank School
Burbank School is a public elementary school serving young students in the suburban community of Belmont, Massachusetts.
-
E.
Everett High School
Everett High School is the main public secondary school serving students in the city of Everett, Massachusetts.
- 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: Ardsley High School Triple: [Mark Zuckerberg, educatedAt, Ardsley High School]
Generated description
Ardsley High School is a public high school in Ardsley, New York, known in part for having been attended by Facebook co-founder Mark Zuckerberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ardsley High School Target entity description: Ardsley High School is a public high school in Ardsley, New York, known in part for having been attended by Facebook co-founder Mark Zuckerberg.
-
A.
Belmont High School
Belmont High School is a public secondary school serving students in the suburban community of Belmont, Massachusetts.
-
B.
Harborfields Central School District
Harborfields Central School District is a public school district serving students in the Huntington area of Long Island, New York.
-
C.
Butler School
Butler School is a public elementary school serving young students in the town of Belmont, Massachusetts.
-
D.
Burbank School
Burbank School is a public elementary school serving young students in the suburban community of Belmont, Massachusetts.
-
E.
Everett High School
Everett High School is the main public secondary school serving students in the city of Everett, Massachusetts.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a2400257208190b3cd87ad2a06c18f |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25aadb9ac8190b35b13454e86df76 |
completed | Feb. 28, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69a25ba5676881908ac366ed6c0e0d1b |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a25f907d908190a3aafe250cf58919 |
completed | Feb. 28, 2026, 3:22 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.