Triple
T13240557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Hours |
E315267
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Ryan Brown |
E315758
|
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: Ryan Brown | Statement: [The Little Hours, editedBy, Ryan Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Brown Context triple: [The Little Hours, editedBy, Ryan Brown]
-
A.
Ryan Brown
chosen
Ryan Brown is a film editor known for his work on the movie "Horse Girl."
-
B.
Ryan Brown
Ryan Brown is a musician best known for his past role as a member of the rock band Papa Roach.
-
C.
Ryan Brown
Ryan Brown is a comic book colorist known for his work on the supernatural action series *The Tower Chronicles*.
-
D.
Jake Brown
Jake Brown is the wandering African American World War I veteran whose experiences in Harlem’s nightlife and Black community drive the narrative of Claude McKay’s novel "Home to Harlem."
-
E.
Matthew Brown
Matthew Brown is a film director best known for helming the biographical drama "The Man Who Knew Infinity," about mathematician Srinivasa Ramanujan.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a38d09881909e8e3c32e9b1746e |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:23 p.m.