Triple
T10516414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villette |
E248045
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | The Professor |
E767583
|
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: The Professor | Statement: [Villette, followedBy, The Professor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Professor Context triple: [Villette, followedBy, The Professor]
-
A.
The Professor
The Professor is the mastermind strategist and enigmatic leader who orchestrates the meticulously planned heists in the Spanish series "Money Heist."
-
B.
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.
-
C.
the Professor
chosen
The Professor is the reflective, witty narrator and main character in Oliver Wendell Holmes Sr.'s series of conversational essays collected as "The Professor at the Breakfast-Table."
-
D.
Mr. Professor
"Mr. Professor" is a song featured on the album *Back to Scratch* by Welsh singer-songwriter Charlotte Church.
-
E.
Professor Bhaer
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."
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cc58b081908ef15aa89b396db6 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dfbd364819087c70d3b3580eb7a |
completed | April 10, 2026, 2:49 p.m. |
Created at: April 6, 2026, 12:28 p.m.