Triple
T5523084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toots and the Maytals |
E144858
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
“Bam Bam”
“Bam Bam” is a classic ska/reggae song by Toots and the Maytals that has become one of their most recognizable and influential tracks.
|
E530841
|
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: “Bam Bam” | Statement: [Toots and the Maytals, notableWork, “Bam Bam”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Bam Bam” Context triple: [Toots and the Maytals, notableWork, “Bam Bam”]
-
A.
Bam-Bam Cam
Bam-Bam Cam is the hard-hitting former NHL power forward Cam Neely, renowned for his physical play and scoring prowess with the Boston Bruins.
-
B.
Bum Bum
"Bum Bum" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its danceable rhythm and energetic, party-themed vibe.
-
C.
Bam
Bam is a music producer known for working on the track "Dilemma."
-
D.
The Big Bam
The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
-
E.
Viva La Bam
Viva La Bam is an MTV reality television series following Bam Margera and his crew as they carry out elaborate pranks, stunts, and chaotic challenges centered around his life and family.
- 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: “Bam Bam” Triple: [Toots and the Maytals, notableWork, “Bam Bam”]
Generated description
“Bam Bam” is a classic ska/reggae song by Toots and the Maytals that has become one of their most recognizable and influential tracks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Bam Bam” Target entity description: “Bam Bam” is a classic ska/reggae song by Toots and the Maytals that has become one of their most recognizable and influential tracks.
-
A.
Bam-Bam Cam
Bam-Bam Cam is the hard-hitting former NHL power forward Cam Neely, renowned for his physical play and scoring prowess with the Boston Bruins.
-
B.
Bum Bum
"Bum Bum" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its danceable rhythm and energetic, party-themed vibe.
-
C.
Bam
Bam is a music producer known for working on the track "Dilemma."
-
D.
The Big Bam
The Big Bam is a famous nickname for Babe Ruth, the legendary American baseball slugger who transformed the sport in the early 20th century.
-
E.
Viva La Bam
Viva La Bam is an MTV reality television series following Bam Margera and his crew as they carry out elaborate pranks, stunts, and chaotic challenges centered around his life and family.
- 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f73cc8c8190a92a839c1ca804c7 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027f2e98c8190880752c9ae8aba4f |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c04375a6e48190be2ce054fe79f8fc |
completed | March 22, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c043f987a48190828e012763fa0576 |
completed | March 22, 2026, 7:33 p.m. |
Created at: March 22, 2026, 3:34 p.m.