Triple
T10408880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nocturnal Animals |
E245335
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Karl Glusman |
E456863
|
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: Karl Glusman | Statement: [Nocturnal Animals, starring, Karl Glusman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karl Glusman Context triple: [Nocturnal Animals, starring, Karl Glusman]
-
A.
Karl Glusman
chosen
Karl Glusman is an American actor known for his roles in films like "Love" and "Nocturnal Animals" and the television miniseries "Devs."
-
B.
Eric Lamonsoff
Eric Lamonsoff is a bumbling yet big-hearted family man and close friend of Lenny Feder in the Grown Ups comedy film series.
-
C.
Andrew Heiskell
Andrew Heiskell was an American publishing executive and philanthropist best known as a longtime leader of Time Inc. and a prominent figure in New York’s cultural and civic life.
-
D.
Karl C. Mamola
Karl C. Mamola is a distinguished physics educator recognized for his significant contributions to physics teaching and learning.
-
E.
Charles Guggenheim
Charles Guggenheim was an American documentary filmmaker renowned for his politically engaged and historically focused films, earning multiple Academy Awards over his career.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9faa97c819092cadedadabe26bf |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8413f30c8190aebe1504e213b6cc |
completed | April 14, 2026, 6:14 p.m. |
Created at: April 6, 2026, 12:09 p.m.