Triple
T16833711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nat |
E409212
|
entity |
| Predicate | closeTo |
P350
|
FINISHED |
| Object | Professor Bhaer |
E117184
|
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: Professor Bhaer | Statement: [Nat, closeTo, Professor Bhaer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Professor Bhaer Context triple: [Nat, closeTo, Professor Bhaer]
-
A.
Professor Bhaer
chosen
Professor Bhaer is a kind, intellectually inclined German immigrant and love interest of Jo March in the 1994 film adaptation of Louisa May Alcott’s "Little Women."
-
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.
The Professor
The Professor is a film produced by Johnny Depp’s production company Infinitum Nihil, featuring Depp as a terminally ill academic who radically changes his life.
-
E.
The Professor
The Professor is the nickname of Igor Larionov, a highly intelligent and visionary Russian ice hockey center renowned for his playmaking and strategic understanding of the game.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b31981ac8190bbd9720efe842778 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2a2a5348190b14af8ab88a281b7 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.