Triple
T13354444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doc Savage |
E318151
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Doc Savage |
E318151
|
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: Doc Savage | Statement: [Doc Savage, alias, Doc Savage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doc Savage Context triple: [Doc Savage, alias, Doc Savage]
-
A.
Doc Savage
chosen
Doc Savage is a classic pulp adventure hero, a brilliant and physically formidable scientist-explorer known as the "Man of Bronze," who stars in a long-running series of novels and adaptations.
-
B.
Hank Morgan
Hank Morgan is the pragmatic 19th-century American engineer who, transported back to King Arthur’s Britain in Mark Twain’s satirical novel, uses his modern knowledge to upend medieval society.
-
C.
Conrad Poole
Conrad Poole is a South African local government politician who serves as the executive mayor of the Drakenstein Municipality in the Western Cape.
-
D.
Buck Rogers
Buck Rogers is a pioneering science fiction hero who popularized space adventure in early 20th-century American comics, radio, film serials, and television.
-
E.
Dr. John Carter
Dr. John Carter is a central fictional physician on the long-running medical drama series "ER," known for his evolution from idealistic medical student to seasoned doctor.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f49e5548190b14d09daea628e6b |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:32 p.m.