Triple
T15627213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xavier Dolan |
E375710
|
entity |
| Predicate | isKnownFor |
P22
|
FINISHED |
| Object | Mommy |
E1111824
|
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: Mommy | Statement: [Xavier Dolan, isKnownFor, Mommy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mommy Context triple: [Xavier Dolan, isKnownFor, Mommy]
-
A.
Mommy
Mommy is a domineering, materialistic matriarch and central figure in Edward Albee’s absurdist one-act play "The American Dream."
-
B.
Mommy
chosen
"Mommy" is a critically acclaimed 2014 Canadian drama film by Xavier Dolan that explores the turbulent relationship between a widowed mother and her troubled teenage son.
-
C.
Momma
Momma is a track featured on the hip-hop album "Yellow Tape."
-
D.
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.
-
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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb4301881908c7157227fdf79b6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f43191c81908c5704314a002608 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.