Triple
T3503406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beach Boys |
E74019
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Smile Sessions
Smile Sessions is an archival compilation album by the Beach Boys that reconstructs and presents the long-unreleased material from their legendary, unfinished Smile project.
|
E363881
|
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: Smile Sessions | Statement: [The Beach Boys, notableWork, Smile Sessions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smile Sessions Context triple: [The Beach Boys, notableWork, Smile Sessions]
-
A.
Smile Please
"Smile Please" is a song from Stevie Wonder’s acclaimed 1974 soul and R&B album *Fulfillingness' First Finale*.
-
B.
Smile
"Smile" is a 2020 pop album by American singer Katy Perry that explores themes of resilience, self-acceptance, and personal growth.
-
C.
Smile Away
"Smile Away" is a rock song by Paul McCartney and Wings, known for its upbeat tempo and playful lyrics.
-
D.
The Smile
The Smile is an English rock band formed by Radiohead members Thom Yorke and Jonny Greenwood with drummer Tom Skinner, known for its experimental, guitar-driven sound.
-
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: Smile Sessions Triple: [The Beach Boys, notableWork, Smile Sessions]
Generated description
Smile Sessions is an archival compilation album by the Beach Boys that reconstructs and presents the long-unreleased material from their legendary, unfinished Smile project.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smile Sessions Target entity description: Smile Sessions is an archival compilation album by the Beach Boys that reconstructs and presents the long-unreleased material from their legendary, unfinished Smile project.
-
A.
Smile Please
"Smile Please" is a song from Stevie Wonder’s acclaimed 1974 soul and R&B album *Fulfillingness' First Finale*.
-
B.
Smile
"Smile" is a 2020 pop album by American singer Katy Perry that explores themes of resilience, self-acceptance, and personal growth.
-
C.
Smile Away
"Smile Away" is a rock song by Paul McCartney and Wings, known for its upbeat tempo and playful lyrics.
-
D.
The Smile
The Smile is an English rock band formed by Radiohead members Thom Yorke and Jonny Greenwood with drummer Tom Skinner, known for its experimental, guitar-driven sound.
-
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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf0c2b48190b49923137bb9e45d |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373db933881908557d678dcdee382 |
completed | March 13, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69b377a690348190a765b021bbbc820c |
completed | March 13, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3781aaab48190a497a0929966ec12 |
completed | March 13, 2026, 2:36 a.m. |
Created at: March 8, 2026, 3:18 p.m.