Triple
T7438396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lionel Atwill |
E171678
|
entity |
| Predicate | performedIn |
P795
|
FINISHED |
| Object | Doctor X |
E25779
|
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: Doctor X | Statement: [Lionel Atwill, performedIn, Doctor X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doctor X Context triple: [Lionel Atwill, performedIn, Doctor X]
-
A.
Doctor X
chosen
Doctor X is a 1932 pre-Code horror mystery film noted for its early use of two-color Technicolor and starring Fay Wray and Lionel Atwill.
-
B.
Doctor X
Doctor X is the superhero alias of Dr. Jerry Xavier, a character typically portrayed as a brilliant scientist who uses advanced technology and intellect to combat threats.
-
C.
Doctor X
Doctor X is a fictional universe or series featuring the character Lee Taylor.
-
D.
X: The Man with the X-Ray Eyes
X: The Man with the X-Ray Eyes is a 1963 American science fiction horror film about a doctor whose experimental eye treatment gives him increasingly uncontrollable and disturbing x-ray vision.
-
E.
Dr. Death
Dr. Death is a true-crime drama television series that chronicles the horrifying malpractice of neurosurgeon Dr. Christopher Duntsch and the legal and medical efforts to stop him.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34aa3388190ac300cf934042d78 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8278cd9cc8190b88767c1432b3007 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:13 p.m.