Triple
T8627051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Democracy |
E204304
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | Mr. Science |
E204303
|
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: Mr. Science | Statement: [Mr. Democracy, relatedConcept, Mr. Science]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Science Context triple: [Mr. Democracy, relatedConcept, Mr. Science]
-
A.
Mr. Science
chosen
Mr. Science is a symbolic figure representing the ideals of modern scientific rationality and progress that Chinese intellectuals championed during the May Fourth Movement.
-
B.
The Professor
The Professor is the mastermind strategist and enigmatic leader who orchestrates the meticulously planned heists in the Spanish series "Money Heist."
-
C.
The Professor
The Professor is the nickname of Ghanaian former professional boxer Azumah Nelson, a legendary world champion widely regarded as one of Africa’s greatest fighters.
-
D.
Sayanci
Sayanci is a West Chadic language spoken in parts of northern Nigeria.
-
E.
Mr. Science Fiction
Mr. Science Fiction is the nickname of Forrest J Ackerman, a pioneering science fiction fan, editor, and literary agent renowned for his vast genre collection and influence on sci-fi fandom.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc472b8fa481909f52f83ea210483e |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbf918f08190a9b0469eae8e0e0d |
completed | April 2, 2026, 6:56 p.m. |
Created at: March 30, 2026, 6:26 p.m.