Triple
T10256978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Weisblum |
E240496
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mother! |
E136606
|
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: Mother! | Statement: [Andrew Weisblum, notableWork, Mother!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mother! Context triple: [Andrew Weisblum, 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.
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.
-
C.
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.
-
D.
Deliver Us from Evil
Deliver Us from Evil is a 2014 supernatural horror film in which Eric Bana plays a New York police officer who investigates a series of disturbing and seemingly demonic crimes.
-
E.
Mad God
Mad God is a dark, surreal stop-motion animated horror film directed by visual effects legend Phil Tippett, renowned for its nightmarish imagery and decades-long production.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24d299881909615872e2777bdea |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7e153b0819084708b6f7127cdea |
completed | April 9, 2026, 12:50 a.m. |
Created at: April 6, 2026, 11:31 a.m.