Triple
T5399222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingmar Bergman |
E120731
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Erik Bergman
Erik Bergman was a Swedish Lutheran pastor and the father of renowned film director Ingmar Bergman.
|
E524885
|
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: Erik Bergman | Statement: [Ingmar Bergman, father, Erik Bergman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik Bergman Context triple: [Ingmar Bergman, father, Erik Bergman]
-
A.
Leif Sjöberg
Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
-
B.
Jörgen Persson
Jörgen Persson is a Swedish cinematographer known for his work on numerous acclaimed films, including the 1998 adaptation of Les Misérables.
-
C.
George Englund
George Englund was an American film editor, director, and producer known for works like "The Ugly American" and for his long marriage to actress Cloris Leachman.
-
D.
Lars Gyllensten
Lars Gyllensten was a Swedish author, physician, and long-serving member of the Swedish Academy known for his intellectually rigorous and experimental literary works.
-
E.
Anders Hagfeldt
Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
- 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: Erik Bergman Triple: [Ingmar Bergman, father, Erik Bergman]
Generated description
Erik Bergman was a Swedish Lutheran pastor and the father of renowned film director Ingmar Bergman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erik Bergman Target entity description: Erik Bergman was a Swedish Lutheran pastor and the father of renowned film director Ingmar Bergman.
-
A.
Leif Sjöberg
Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
-
B.
Jörgen Persson
Jörgen Persson is a Swedish cinematographer known for his work on numerous acclaimed films, including the 1998 adaptation of Les Misérables.
-
C.
George Englund
George Englund was an American film editor, director, and producer known for works like "The Ugly American" and for his long marriage to actress Cloris Leachman.
-
D.
Lars Gyllensten
Lars Gyllensten was a Swedish author, physician, and long-serving member of the Swedish Academy known for his intellectually rigorous and experimental literary works.
-
E.
Anders Hagfeldt
Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87499ec4819086f8292625b56f96 |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf7fd5099081908ace06c317f6afd1 |
completed | March 22, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69bf81a3b6f88190b31fdebc00886ccb |
completed | March 22, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf81f2fcbc81909f0087d9b0867c27 |
completed | March 22, 2026, 5:45 a.m. |
Created at: March 20, 2026, 2:04 p.m.