Triple
T22769220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Libatique |
E563207
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mother! |
—
|
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: Mother! | Statement: [Matthew Libatique, notableWork, Mother!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mother! Context triple: [Matthew Libatique, notableWork, Mother!]
-
A.
Mother!
chosen
Mother! is a 2017 psychological horror film directed by Darren Aronofsky, known for its allegorical narrative, intense performances, and divisive critical reception.
-
B.
I Am Mother
I Am Mother is a 2019 science fiction thriller film about a teenage girl raised by a robot in a post-apocalyptic bunker, starring Hilary Swank.
-
C.
Time Is a Mother
Time Is a Mother is a poetry collection by Ocean Vuong that meditates on grief, memory, and identity in the aftermath of personal loss.
-
D.
Oh Sees
Oh Sees is an American experimental rock band led by John Dwyer, known for its prolific output and energetic, psychedelic garage rock sound.
-
E.
Deliver Us from Evil
Deliver Us from Evil is a South Korean action-thriller film featuring Lee Jung-jae in a prominent role, known for its intense violence and stylish, noir-inspired storytelling.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b59c9cc8190a6edd68f3209a672 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.