Triple
T18359226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electric Light Orchestra II |
E439871
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Momma |
—
|
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: Momma | Statement: [Electric Light Orchestra II, hasPart, Momma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Momma Context triple: [Electric Light Orchestra II, hasPart, Momma]
-
A.
Momma
chosen
Momma is a track featured on the hip-hop album "Yellow Tape."
-
B.
Momma
"Momma" is a reflective, jazz-infused hip-hop track by Kendrick Lamar from his critically acclaimed album *To Pimp a Butterfly*, exploring themes of identity, home, and self-discovery.
-
C.
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.
-
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 song by Russian singer Vitas, known for showcasing his distinctive high vocal range and emotional performance style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d9dba8819088c5d772e3ee670d |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.