Triple
T3864073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Angelou |
E91806
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Mom & Me & Mom |
E395445
|
NE FINISHED |
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: Mom & Me & Mom | Statement: [Maya Angelou, wrote, Mom & Me & Mom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mom & Me & Mom Context triple: [Maya Angelou, wrote, Mom & Me & Mom]
-
A.
Mom & Me & Mom
chosen
Mom & Me & Mom is a memoir by Maya Angelou that explores her complex, evolving relationship with her mother and the impact it had on her life and identity.
-
B.
Same Mother
Same Mother is a jazz album by American pianist and composer Jason Moran that blends avant-garde improvisation with blues and traditional influences.
-
C.
Mom + Pop
Mom + Pop is a song by the American rock band Lucius, known for its lush harmonies and indie-pop sensibility.
-
D.
Four Mothers
Four Mothers is a 1941 American drama film that continues the story of the Lemp family introduced in Four Daughters and its first sequel, Four Wives.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3871d881909c6c8e6d08203801 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c808c808190928bf07788ad9657 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:19 p.m.