Triple
T16288292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mom & Me & Mom |
E395445
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Vivian Baxter |
E1240512
|
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: Vivian Baxter | Statement: [Mom & Me & Mom, hasMainCharacter, Vivian Baxter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivian Baxter Context triple: [Mom & Me & Mom, hasMainCharacter, Vivian Baxter]
-
A.
Vivian Baxter
chosen
Vivian Baxter was Maya Angelou’s strong-willed, independent mother whose complex relationship with her daughter is vividly portrayed in the memoir "Mom & Me & Mom."
-
B.
Vivian Ward
Vivian Ward is the charismatic Hollywood prostitute-turned-love-interest famously played by Julia Roberts in the 1990 romantic comedy film "Pretty Woman."
-
C.
Vivian Reed
Vivian Reed was an American actress and singer active in early 20th-century film and theater.
-
D.
Vivian Moore
Vivian Moore is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Moore.
-
E.
Vivian Ayers
Vivian Ayers is an American poet, cultural activist, and Pulitzer Prize–nominated author known for her work in arts education and African American cultural preservation.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e249165af881908ce44c4517c93c12 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbf46cf881909f6c16f7a3d9a535 |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:05 a.m.