Triple
T970346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Money Heist |
E20929
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | The Professor |
E114999
|
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: [Money Heist, character, The Professor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Professor Context triple: [Money Heist, character, The Professor]
-
A.
The Professor
chosen
The Professor is the mastermind strategist and enigmatic leader who orchestrates the meticulously planned heists in the Spanish series "Money Heist."
-
B.
Gardner
Gardner is a common English surname borne by numerous notable individuals across fields such as literature, science, and the arts.
-
C.
Degory Priest
Degory Priest was an English Pilgrim and early settler of Plymouth Colony who traveled on the Mayflower and participated in the founding governance of the colony.
-
D.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
-
E.
Elias Loomis
Elias Loomis was a 19th-century American mathematician and physicist known for his work in astronomy, meteorology, and mathematical education.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4497d688190b59c3a195e377080 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cd9705c8190adf1fb72188cc84e |
completed | March 7, 2026, 12:40 p.m. |
Created at: March 1, 2026, 7:40 p.m.