Triple
T14398058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forget Paris |
E357001
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Peter Schindler
Peter Schindler is a film producer best known for his work on the romantic comedy "Forget Paris."
|
E1149323
|
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: Peter Schindler | Statement: [Forget Paris, producer, Peter Schindler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Schindler Context triple: [Forget Paris, producer, Peter Schindler]
-
A.
Peter Riedler
Peter Riedler is an Austrian academic and university administrator who serves as rector of the University of Graz.
-
B.
Peter Schweger
Peter Schweger is a German architect known for designing prominent contemporary buildings, including major high-rise projects.
-
C.
Robert Schrader
Robert Schrader is a mathematical physicist best known for co-developing the Osterwalder–Schrader axioms, which provide a rigorous foundation for Euclidean quantum field theory.
-
D.
Kurt Schneider
Kurt Schneider was a German psychiatrist best known for defining the "first-rank symptoms" of schizophrenia that strongly influenced modern diagnostic criteria.
-
E.
Guy Schuessler
Guy Schuessler is a British actor and theatre professional best known as the husband of acclaimed stage and screen actress Dame Harriet Walter.
- 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: Peter Schindler Triple: [Forget Paris, producer, Peter Schindler]
Generated description
Peter Schindler is a film producer best known for his work on the romantic comedy "Forget Paris."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Schindler Target entity description: Peter Schindler is a film producer best known for his work on the romantic comedy "Forget Paris."
-
A.
Peter Riedler
Peter Riedler is an Austrian academic and university administrator who serves as rector of the University of Graz.
-
B.
Peter Schweger
Peter Schweger is a German architect known for designing prominent contemporary buildings, including major high-rise projects.
-
C.
Robert Schrader
Robert Schrader is a mathematical physicist best known for co-developing the Osterwalder–Schrader axioms, which provide a rigorous foundation for Euclidean quantum field theory.
-
D.
Kurt Schneider
Kurt Schneider was a German psychiatrist best known for defining the "first-rank symptoms" of schizophrenia that strongly influenced modern diagnostic criteria.
-
E.
Guy Schuessler
Guy Schuessler is a British actor and theatre professional best known as the husband of acclaimed stage and screen actress Dame Harriet Walter.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9083f9d081908fe5c99655c410b3 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef883f2b88190807d9157e8d45e3c |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fef9b42b94819088e96f301a91ce71 |
completed | May 9, 2026, 9:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa179c7081908cced4ad780583a3 |
completed | May 9, 2026, 9:10 a.m. |
Created at: April 10, 2026, 1:17 a.m.