Triple
T18359223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electric Light Orchestra II |
E439871
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Mama
"Mama" is a song by the British rock band Electric Light Orchestra, featured on their 1973 album *Electric Light Orchestra II*.
|
E1320587
|
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: Mama | Statement: [Electric Light Orchestra II, hasPart, Mama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mama Context triple: [Electric Light Orchestra II, hasPart, Mama]
-
A.
Mama
"Mama" is a 1987 debut novel by Terry McMillan that follows a resilient Black single mother struggling to raise her children and rebuild her life amid poverty and personal turmoil.
-
B.
Mama
Mama is a key supporting character in the video game "Death Stranding," a brilliant yet tragic scientist who aids protagonist Sam Porter Bridges with her expertise in chiral technology.
-
C.
Mama
Mama is a recurring supporting character in the animated television series "Rocket Power," known for her role within the show's surfing and extreme-sports-centered world.
-
D.
Mama
Mama is a 2013 supernatural horror film known for its eerie ghost story about two feral sisters and the mysterious maternal entity that follows them.
-
E.
Mama
Mama, whose full name is Lena Younger, is the strong, compassionate matriarch of the Younger family in Lorraine Hansberry’s play "A Raisin in the Sun."
- 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: Mama Triple: [Electric Light Orchestra II, hasPart, Mama]
Generated description
"Mama" is a song by the British rock band Electric Light Orchestra, featured on their 1973 album *Electric Light Orchestra II*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mama Target entity description: "Mama" is a song by the British rock band Electric Light Orchestra, featured on their 1973 album *Electric Light Orchestra II*.
-
A.
Mama
"Mama" is a dark, emotionally intense 1983 song by the English rock band Genesis, known for its haunting atmosphere and Phil Collins's distinctive vocal delivery.
-
B.
Mama
"Mama" is a song by the Japanese rock band Boi-ngo.
-
C.
Mama
"Mama" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
-
D.
Mama
"Mama" is a popular song by Russian singer Vitas, known for showcasing his distinctive high vocal range and emotional performance style.
-
E.
Mama
"Mama" is a 1987 debut novel by Terry McMillan that follows a resilient Black single mother struggling to raise her children and rebuild her life amid poverty and personal turmoil.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d9dba8819088c5d772e3ee670d |
completed | April 19, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d772016c8190a24afa02be5ddea3 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d7f2166881908068f21bdc4e32ba |
completed | May 13, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d862b9dc81909ac8ca5048c51b9c |
completed | May 13, 2026, 1:48 a.m. |
Created at: April 10, 2026, 10:37 a.m.