Triple
T20286180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crow and Mama |
E509880
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Mama |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Crow and Mama, character, Mama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mama Context triple: [Crow and Mama, character, 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 2013 supernatural horror film known for its eerie ghost story about two feral sisters and the mysterious maternal entity that follows them.
-
C.
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."
-
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 song by the British rock band Electric Light Orchestra, featured on their 1973 album *Electric Light Orchestra II*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e676924f48819095f6224c8d9bb257 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 11:06 a.m.