Triple
T9426726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tortured Poets Department |
E227278
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
So High School
"So High School" is a song by Taylor Swift from her album "The Tortured Poets Department."
|
E798547
|
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: So High School | Statement: [The Tortured Poets Department, hasPart, So High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So High School Context triple: [The Tortured Poets Department, hasPart, So High School]
-
A.
In School
In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
-
B.
After School
"After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
-
C.
Sky High
Sky High is a 2005 family-friendly superhero comedy film about a high school for teenage heroes, starring Kurt Russell.
-
D.
If Not Higher
"If Not Higher" is a classic Yiddish short story by I. L. Peretz that gently satirizes religious hypocrisy while celebrating genuine piety and compassion.
-
E.
When on High
"When on High" is the traditional English rendering of the opening words and common title of the ancient Babylonian creation epic Enuma Elish.
- 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: So High School Triple: [The Tortured Poets Department, hasPart, So High School]
Generated description
"So High School" is a song by Taylor Swift from her album "The Tortured Poets Department."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So High School Target entity description: "So High School" is a song by Taylor Swift from her album "The Tortured Poets Department."
-
A.
In School
In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
-
B.
After School
"After School" is a track featured on the K-pop album "G.O.A.T." by the group Apink.
-
C.
Sky High
Sky High is a 2005 family-friendly superhero comedy film about a high school for teenage heroes, starring Kurt Russell.
-
D.
If Not Higher
"If Not Higher" is a classic Yiddish short story by I. L. Peretz that gently satirizes religious hypocrisy while celebrating genuine piety and compassion.
-
E.
When on High
"When on High" is the traditional English rendering of the opening words and common title of the ancient Babylonian creation epic Enuma Elish.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107dd5bcc8190b3f0fdecf296fe29 |
completed | April 4, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69d10890519c8190a1affc040c1d6a8f |
completed | April 4, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108f10fb48190968ae57799dd017c |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:49 p.m.