Triple
T9428991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4 Way Street |
E227324
|
entity |
| Predicate | includesSong |
P7178
|
FINISHED |
| Object |
Laughing
"Laughing" is a folk-rock song by Crosby, Stills, Nash & Young, featured on their 1971 live album *4 Way Street*.
|
E800105
|
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: Laughing | Statement: [4 Way Street, includesSong, Laughing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laughing Context triple: [4 Way Street, includesSong, Laughing]
-
A.
Belaugh
Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
-
B.
Hehe
Hehe is a Bantu language spoken primarily by the Hehe people of south-central Tanzania.
-
C.
The Sound of Laughter
The Sound of Laughter is the bestselling autobiography of British comedian Peter Kay, chronicling his early life and rise in stand-up comedy with his trademark observational humor.
-
D.
Enter Laughing
Enter Laughing is a semi-autobiographical comedic novel by Carl Reiner about a young man's early struggles to break into show business.
-
E.
Smiles
Smiles is a Brazilian frequent-flyer and loyalty program that allows members to earn and redeem miles across flights, partner airlines, and various retail and service partners.
- 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: Laughing Triple: [4 Way Street, includesSong, Laughing]
Generated description
"Laughing" is a folk-rock song by Crosby, Stills, Nash & Young, featured on their 1971 live album *4 Way Street*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laughing Target entity description: "Laughing" is a folk-rock song by Crosby, Stills, Nash & Young, featured on their 1971 live album *4 Way Street*.
-
A.
Belaugh
Belaugh is a small, picturesque village in Norfolk, England, known for its riverside setting within the Norfolk Broads.
-
B.
Hehe
Hehe is a Bantu language spoken primarily by the Hehe people of south-central Tanzania.
-
C.
The Sound of Laughter
The Sound of Laughter is the bestselling autobiography of British comedian Peter Kay, chronicling his early life and rise in stand-up comedy with his trademark observational humor.
-
D.
Enter Laughing
Enter Laughing is a semi-autobiographical comedic novel by Carl Reiner about a young man's early struggles to break into show business.
-
E.
Smiles
Smiles is a Brazilian frequent-flyer and loyalty program that allows members to earn and redeem miles across flights, partner airlines, and various retail and service partners.
- 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_69cd7c92ee848190baa41fe91a131305 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11034369c81908992e268e66d7833 |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d1149f6f6c81908ea2fce6f29ccb64 |
completed | April 4, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d115168d748190909687d39fb79e24 |
completed | April 4, 2026, 1:41 p.m. |
Created at: March 30, 2026, 7:49 p.m.