Triple
T3325026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young |
E69892
|
entity |
| Predicate | hasFacility |
P105
|
FINISHED |
| Object |
Young High School
Young High School is an educational institution serving secondary-level students in the community of Young.
|
E348580
|
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: Young High School | Statement: [Young, hasFacility, Young High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Young High School Context triple: [Young, hasFacility, Young High School]
-
A.
Young Adult
Young Adult is a 2011 dark comedy-drama film directed by Jason Reitman and written by Diablo Cody, starring Charlize Theron as a troubled writer who returns to her hometown.
-
B.
Junior
Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
-
C.
Junior
Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
-
D.
Youth
"Youth" is a section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
-
E.
Youth
Youth is a British musician and record producer best known as the bassist and founding member of the band Killing Joke and for his influential work in post-punk and electronic music.
- 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: Young High School Triple: [Young, hasFacility, Young High School]
Generated description
Young High School is an educational institution serving secondary-level students in the community of Young.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Young High School Target entity description: Young High School is an educational institution serving secondary-level students in the community of Young.
-
A.
Young Adult
Young Adult is a 2011 dark comedy-drama film directed by Jason Reitman and written by Diablo Cody, starring Charlize Theron as a troubled writer who returns to her hometown.
-
B.
Junior
Junior is a 1994 comedy film in which Arnold Schwarzenegger plays a scientist who becomes pregnant as part of an experimental fertility project.
-
C.
Junior
Junior is the protagonist of the novel "Love" by Toni Morrison, around whom the story’s complex relationships and themes of desire, memory, and power revolve.
-
D.
Youth
Youth is a British musician and record producer best known as the bassist and founding member of the band Killing Joke and for his influential work in post-punk and electronic music.
-
E.
Youth
"Youth" is a section of Peter Kropotkin’s autobiographical work *Memoirs of a Revolutionist*, recounting his early life and formative experiences.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb16ca13c8190aea8caed8ccd9b88 |
completed | March 8, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a7b26248190b9bf159982d7d19e |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31e4ca140819099de4546b0cb14d6 |
completed | March 12, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b31ec53b848190b56ca349f53ff447 |
completed | March 12, 2026, 8:15 p.m. |
Created at: March 8, 2026, 3:11 p.m.