Triple
T7538772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University High School (Los Angeles) |
E178217
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Uni High
Uni High is a public high school in Los Angeles, California, known formally as University High School.
|
E671964
|
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: Uni High | Statement: [University High School (Los Angeles), shortName, Uni High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uni High Context triple: [University High School (Los Angeles), shortName, Uni High]
-
A.
Oiso High School
Oiso High School is a secondary education institution located in the coastal town of Ōiso in Kanagawa Prefecture, Japan.
-
B.
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.
-
C.
Union High School
Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
-
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.
Millis High School
Millis High School is a public secondary school serving students in the small town of Millis, 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: Uni High Triple: [University High School (Los Angeles), shortName, Uni High]
Generated description
Uni High is a public high school in Los Angeles, California, known formally as University High School.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uni High Target entity description: Uni High is a public high school in Los Angeles, California, known formally as University High School.
-
A.
Oiso High School
Oiso High School is a secondary education institution located in the coastal town of Ōiso in Kanagawa Prefecture, Japan.
-
B.
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.
-
C.
Union High School
Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
-
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.
Millis High School
Millis High School is a public secondary school serving students in the small town of Millis, 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f87280f0819097d4ffc2e1b62cf8 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f14d20c8190ab254f991cec0d94 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c853ab496c8190ad35c7c00eb82160 |
completed | March 28, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c853f8e6808190bde26c01576cc22c |
completed | March 28, 2026, 10:19 p.m. |
Created at: March 27, 2026, 3:48 p.m.