Triple
T16595765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. Alyn Warren |
E403201
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | E. Alyn Warren |
E403201
|
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: E. Alyn Warren | Statement: [E. Alyn Warren, name, E. Alyn Warren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E. Alyn Warren Context triple: [E. Alyn Warren, name, E. Alyn Warren]
-
A.
E. Alyn Warren
chosen
E. Alyn Warren was an American character actor of the early 20th century, known for his frequent portrayals of Asian characters in Hollywood films.
-
B.
Lorna Raver
Lorna Raver is an American character actress best known for her chilling performance as the vengeful Mrs. Ganush in the horror film "Drag Me to Hell."
-
C.
Amy Ruck
Amy Ruck was the wife of botanist Francis Darwin, son of Charles Darwin, and a member of the extended Darwin family circle in late 19th-century England.
-
D.
Melissa Reeves
Melissa Reeves is a fictional character in the 1996 disaster film "Twister," where she begins the story as the fiancée of storm chaser Bill Harding.
-
E.
Clea DuVall
Clea DuVall is an American actress and filmmaker known for her roles in films like "But I'm a Cheerleader," "Girl, Interrupted," and "Argo," as well as for her work in independent cinema and television.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d717604819083ed60b865bbd13e |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a50bcbe88190a424a361ee885b0c |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:16 a.m.