Triple
T9983358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Willy |
E196506
|
entity |
| Predicate | protagonistPortrayedBy |
P9616
|
FINISHED |
| Object |
Jason James Richter
Jason James Richter is an American actor best known for playing the young boy Jesse in the family film "Free Willy" and its sequels.
|
E834209
|
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: Jason James Richter | Statement: [Free Willy, protagonistPortrayedBy, Jason James Richter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jason James Richter Context triple: [Free Willy, protagonistPortrayedBy, Jason James Richter]
-
A.
Jonathan Wiedemann
Jonathan Wiedemann is a former model and the ex-husband of Italian actress and model Isabella Rossellini.
-
B.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
C.
Jonathan Eirich
Jonathan Eirich is a film producer best known for his work on major Hollywood projects such as Disney’s live-action adaptation of Aladdin (2019).
-
D.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
E.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
- 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: Jason James Richter Triple: [Free Willy, protagonistPortrayedBy, Jason James Richter]
Generated description
Jason James Richter is an American actor best known for playing the young boy Jesse in the family film "Free Willy" and its sequels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jason James Richter Target entity description: Jason James Richter is an American actor best known for playing the young boy Jesse in the family film "Free Willy" and its sequels.
-
A.
Jonathan Wiedemann
Jonathan Wiedemann is a former model and the ex-husband of Italian actress and model Isabella Rossellini.
-
B.
Matthew Jensen
Matthew Jensen is a cinematographer best known for his work on major films such as the 2017 superhero movie "Wonder Woman."
-
C.
Jonathan Eirich
Jonathan Eirich is a film producer best known for his work on major Hollywood projects such as Disney’s live-action adaptation of Aladdin (2019).
-
D.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
E.
Ken Schretzmann
Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8bdc0388190bbbd4bdc5ac3adec |
completed | April 2, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257f3c59481909b90896be0f3a870 |
completed | April 5, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69d25889b0f08190a28c5401417fe3cc |
completed | April 5, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25981db3c8190b7b4935cdcc1fe1c |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 30, 2026, 8:49 p.m.