Triple
T1200935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor X |
E25779
|
entity |
| Predicate | title |
P38
|
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: [Doctor X, title, Doctor X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doctor X Context triple: [Doctor X, title, 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.
The Agnew Clinic
The Agnew Clinic is a renowned 1889 realist painting by American artist Thomas Eakins depicting Dr. David Hayes Agnew performing surgery before medical students.
-
C.
Madame X
Madame X is a famous 1884 portrait by John Singer Sargent, renowned for its provocative depiction of Parisian socialite Virginie Amélie Avegno Gautreau and the scandal it caused at the Paris Salon.
-
D.
La Dotta
La Dotta is a nickname for the Italian city of Bologna, highlighting its historic role as a major center of learning and home to one of the world’s oldest universities.
-
E.
Corridor Z
Corridor Z is a major east–west transportation corridor in southern Georgia that connects key cities and facilitates regional travel and commerce.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9ec3488190afe35af54efae5e9 |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac765c58d48190bbd460663d965097 |
completed | March 7, 2026, 7:02 p.m. |
Created at: March 1, 2026, 7:46 p.m.