Triple
T880244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Grazer |
E19008
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Patrick Grazer
Patrick Grazer is the son of acclaimed American film and television producer Brian Grazer.
|
E144752
|
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: Patrick Grazer | Statement: [Brian Grazer, hasChild, Patrick Grazer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrick Grazer Context triple: [Brian Grazer, hasChild, Patrick Grazer]
-
A.
Marc Streitenfeld
Marc Streitenfeld is a German film score composer best known for his frequent collaborations with director Ridley Scott on major Hollywood films.
-
B.
Eric Fellner
Eric Fellner is a British film producer and co-chairman of Working Title Films, known for overseeing numerous successful UK and international movies.
-
C.
Richard Saller
Richard Saller is an American classical historian and academic administrator who serves as president of Stanford University.
-
D.
Peter Teschner
Peter Teschner is a film editor known for his work on major Hollywood comedies, including the hit movie "Horrible Bosses."
-
E.
Stefan Rowecki
Stefan Rowecki was a Polish general and key leader of the World War II resistance movement, serving as commander of the underground Home Army against Nazi occupation.
- 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: Patrick Grazer Triple: [Brian Grazer, hasChild, Patrick Grazer]
Generated description
Patrick Grazer is the son of acclaimed American film and television producer Brian Grazer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrick Grazer Target entity description: Patrick Grazer is the son of acclaimed American film and television producer Brian Grazer.
-
A.
Marc Streitenfeld
Marc Streitenfeld is a German film score composer best known for his frequent collaborations with director Ridley Scott on major Hollywood films.
-
B.
Eric Fellner
Eric Fellner is a British film producer and co-chairman of Working Title Films, known for overseeing numerous successful UK and international movies.
-
C.
Richard Saller
Richard Saller is an American classical historian and academic administrator who serves as president of Stanford University.
-
D.
Peter Teschner
Peter Teschner is a film editor known for his work on major Hollywood comedies, including the hit movie "Horrible Bosses."
-
E.
Stefan Rowecki
Stefan Rowecki was a Polish general and key leader of the World War II resistance movement, serving as commander of the underground Home Army against Nazi occupation.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acc9d5f4819087afbb75b6ac3dbf |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac99669a1481909fa42162ffee2d7b |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9a13e9548190ae1fbfeba3326cd5 |
completed | March 7, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9a96d4f081908e608a3f247bbfb2 |
completed | March 7, 2026, 9:37 p.m. |
Created at: March 1, 2026, 7:39 p.m.