Triple
T17361047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homework |
E422065
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Indo Silver Club |
—
|
NE ONDG |
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: Indo Silver Club | Statement: [Homework, hasPart, Indo Silver Club]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Indo Silver Club Context triple: [Homework, hasPart, Indo Silver Club]
-
A.
Oasis Club
Oasis Club is Kuwait Airways’ frequent flyer loyalty program that rewards passengers with miles and travel benefits.
-
B.
United Palace
United Palace is a historic theater and cultural venue in New York City known for its ornate architecture and use as a performing arts and community space.
-
C.
The Royal Peacock nightclub
The Royal Peacock nightclub is a historic Atlanta venue that served as a major hub for African American music, entertainment, and civil rights–era social life.
-
D.
Chandni Bar
Chandni Bar is a critically acclaimed 2001 Indian crime drama film directed by Madhur Bhandarkar that explores the dark underbelly of Mumbai’s bar dancers and organized crime.
-
E.
Abha Club
Abha Club is a professional football team based in Abha, Saudi Arabia, that competes in the country’s top-tier league system.
- 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: Indo Silver Club Triple: [Homework, hasPart, Indo Silver Club]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Indo Silver Club Target entity description: Indo Silver Club is a component or segment of the South Korean variety show "Homework," likely serving as a recurring themed corner or feature within the program.
-
A.
Oasis Club
Oasis Club is Kuwait Airways’ frequent flyer loyalty program that rewards passengers with miles and travel benefits.
-
B.
United Palace
United Palace is a historic theater and cultural venue in New York City known for its ornate architecture and use as a performing arts and community space.
-
C.
The Royal Peacock nightclub
The Royal Peacock nightclub is a historic Atlanta venue that served as a major hub for African American music, entertainment, and civil rights–era social life.
-
D.
Chandni Bar
Chandni Bar is a critically acclaimed 2001 Indian crime drama film directed by Madhur Bhandarkar that explores the dark underbelly of Mumbai’s bar dancers and organized crime.
-
E.
Abha Club
Abha Club is a professional football team based in Abha, Saudi Arabia, that competes in the country’s top-tier league system.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.