Triple
T14918785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitas |
E371452
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mama
"Mama" is a popular song by Russian singer Vitas, known for showcasing his distinctive high vocal range and emotional performance style.
|
E1126469
|
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: [Vitas, notableWork, Mama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mama Context triple: [Vitas, notableWork, 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 dark, emotionally intense 1983 song by the English rock band Genesis, known for its haunting atmosphere and Phil Collins's distinctive vocal delivery.
-
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" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
- 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: [Vitas, notableWork, Mama]
Generated description
"Mama" is a popular song by Russian singer Vitas, known for showcasing his distinctive high vocal range and emotional performance style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mama Target entity description: "Mama" is a popular song by Russian singer Vitas, known for showcasing his distinctive high vocal range and emotional performance style.
-
A.
Mama
"Mama" is a popular Afrobeats song by Nigerian producer and songwriter Kiddominant.
-
B.
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.
-
C.
Mama
Mama is a monumental wooden sculpture by contemporary artist Ursula von Rydingsvard, known for her large-scale, hand-carved cedar works that evoke organic and architectural forms.
-
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 is a recurring, grotesque boss character in the video game *Limbo*, known for its unsettling design and role in the game's eerie, puzzle-platforming world.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded62f76bc81909ebc8899096cd1a0 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72c141088190936f2fd53fee80e4 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe7477270c819094a908a05143619d |
completed | May 8, 2026, 11:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7542e5948190866991cabdf97f0e |
completed | May 8, 2026, 11:44 p.m. |
Created at: April 10, 2026, 2:33 a.m.