Triple
T440449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citizen Kane |
E10101
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Mr. Bernstein
Mr. Bernstein is the loyal, reflective business manager and close associate of Charles Foster Kane in Orson Welles’s film "Citizen Kane."
|
E87518
|
NE FINISHED |
How this triple was built (4 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. Bernstein | Statement: [Citizen Kane, character, Mr. Bernstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Bernstein Context triple: [Citizen Kane, character, Mr. Bernstein]
-
A.
Louis Bernstein
Louis Bernstein is the birth name of Leonard Bernstein, the renowned American composer, conductor, and pianist.
-
B.
Alexander Bernstein
Alexander Bernstein is an American educator and arts advocate, best known as the son of renowned composer and conductor Leonard Bernstein.
-
C.
Mort Goldman
Mort Goldman is a neurotic, bespectacled Jewish pharmacist and recurring comic relief character on the animated television series Family Guy.
-
D.
Felix Unger
Felix Unger is an Austrian cardiac surgeon and academic known for co-founding and leading the European Academy of Sciences and Arts.
-
E.
Peretz Bernstein
Peretz Bernstein was a Zionist activist and Israeli politician who served as a signatory of Israel’s Declaration of Independence and later as a government minister.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mr. Bernstein Triple: [Citizen Kane, character, Mr. Bernstein]
Generated description
Mr. Bernstein is the loyal, reflective business manager and close associate of Charles Foster Kane in Orson Welles’s film "Citizen Kane."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Bernstein Target entity description: Mr. Bernstein is the loyal, reflective business manager and close associate of Charles Foster Kane in Orson Welles’s film "Citizen Kane."
-
A.
Louis Bernstein
Louis Bernstein is the birth name of Leonard Bernstein, the renowned American composer, conductor, and pianist.
-
B.
Alexander Bernstein
Alexander Bernstein is an American educator and arts advocate, best known as the son of renowned composer and conductor Leonard Bernstein.
-
C.
Mort Goldman
Mort Goldman is a neurotic, bespectacled Jewish pharmacist and recurring comic relief character on the animated television series Family Guy.
-
D.
Felix Unger
Felix Unger is an Austrian cardiac surgeon and academic known for co-founding and leading the European Academy of Sciences and Arts.
-
E.
Peretz Bernstein
Peretz Bernstein was a Zionist activist and Israeli politician who served as a signatory of Israel’s Declaration of Independence and later as a government minister.
- F. None of above. chosen
Provenance (5 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef2af84881909635ebbbb3465b1b |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a48e53081908e5d5e093edb5e75 |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64ad340348190bec2454d5e1c0fa9 |
completed | March 3, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64b4e9cec8190a3dcc378f853be0d |
completed | March 3, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 1:11 p.m.