Triple
T13796544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keoma |
E331531
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
William Berger
William Berger was an Austrian-born actor best known for his prolific work in Italian genre cinema, particularly Spaghetti Westerns of the 1960s and 1970s.
|
E1070109
|
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: William Berger | Statement: [Keoma, castMember, William Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Berger Context triple: [Keoma, castMember, William Berger]
-
A.
Albert Berger
Albert Berger is an American film producer known for acclaimed independent and studio films, including the Oscar-winning drama "Cold Mountain."
-
B.
Louis Fischer
Louis Fischer was an American entrepreneur best known as the founder of the Gino's Hamburgers fast-food restaurant chain.
-
C.
Edward Berger
Edward Berger is a German film and television director known for his acclaimed work on series like "Patrick Melrose" and the Oscar-winning war drama "All Quiet on the Western Front."
-
D.
Walter Blum
Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
-
E.
Charles Schoenbaum
Charles Schoenbaum was an American cinematographer known for his work on numerous Hollywood films during the mid-20th century.
- 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: William Berger Triple: [Keoma, castMember, William Berger]
Generated description
William Berger was an Austrian-born actor best known for his prolific work in Italian genre cinema, particularly Spaghetti Westerns of the 1960s and 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Berger Target entity description: William Berger was an Austrian-born actor best known for his prolific work in Italian genre cinema, particularly Spaghetti Westerns of the 1960s and 1970s.
-
A.
Albert Berger
Albert Berger is an American film producer known for acclaimed independent and studio films, including the Oscar-winning drama "Cold Mountain."
-
B.
Louis Fischer
Louis Fischer was an American entrepreneur best known as the founder of the Gino's Hamburgers fast-food restaurant chain.
-
C.
Edward Berger
Edward Berger is a German film and television director known for his acclaimed work on series like "Patrick Melrose" and the Oscar-winning war drama "All Quiet on the Western Front."
-
D.
Walter Blum
Walter Blum is a German mathematician known for his contributions to algebra and mathematical education.
-
E.
Charles Schoenbaum
Charles Schoenbaum was an American cinematographer known for his work on numerous Hollywood films during the mid-20th century.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce667c248190a9d0a0f1e9e228ae |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f9fd56da288190b2bd33bc496c3fb9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb039fdb1c8190ad5286d1cfe80a29 |
completed | May 6, 2026, 9:02 a.m. |
Created at: April 9, 2026, 10:11 p.m.