Triple
T14074848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakland Technical High School |
E338704
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Tech High
Tech High is a public high school in Oakland, California, known for its diverse student body, strong academic programs, and historic campus.
|
E1077518
|
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: Tech High | Statement: [Oakland Technical High School, alsoKnownAs, Tech High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tech High Context triple: [Oakland Technical High School, alsoKnownAs, Tech High]
-
A.
Smart Tech
Smart Tech is the fictional electronics retail store where the main characters work in the comedy film "The 40-Year-Old Virgin."
-
B.
Tech XXI
Tech XXI is the live bulldog mascot representing Louisiana Tech University's athletic teams and school spirit.
-
C.
Techelles
Techelles is a loyal and warlike follower of Tamburlaine in Christopher Marlowe’s play "Tamburlaine the Great."
-
D.
Tekno
Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
-
E.
Tech
Tech is a highly intelligent and tech-savvy clone commando in Star Wars: The Bad Batch, known for his analytical mind, technical expertise, and role as the squad’s systems and communications specialist.
- 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: Tech High Triple: [Oakland Technical High School, alsoKnownAs, Tech High]
Generated description
Tech High is a public high school in Oakland, California, known for its diverse student body, strong academic programs, and historic campus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tech High Target entity description: Tech High is a public high school in Oakland, California, known for its diverse student body, strong academic programs, and historic campus.
-
A.
Smart Tech
Smart Tech is the fictional electronics retail store where the main characters work in the comedy film "The 40-Year-Old Virgin."
-
B.
Tech XXI
Tech XXI is the live bulldog mascot representing Louisiana Tech University's athletic teams and school spirit.
-
C.
Techelles
Techelles is a loyal and warlike follower of Tamburlaine in Christopher Marlowe’s play "Tamburlaine the Great."
-
D.
Tekno
Tekno is a Nigerian singer, songwriter, and record producer known for his Afrobeat and Afropop hit songs and dance-oriented sound.
-
E.
Tech
The Tech is a river in southern France that flows through the Pyrénées-Orientales in the Occitanie region before emptying into the Mediterranean Sea.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5bc49881909012b66fa451f495 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66eeb248190b73e992ab6b9af82 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc37502048190b24438c0fb161fdf |
completed | May 7, 2026, 4:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc3db83ac819083b728d039b8d345 |
completed | May 7, 2026, 4:54 p.m. |
Created at: April 9, 2026, 10:21 p.m.