Triple
T13581194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodbye Christopher Robin |
E324419
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Will Tilston
Will Tilston is a British child actor best known for playing young Christopher Robin Milne in the film "Goodbye Christopher Robin."
|
E1052139
|
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: Will Tilston | Statement: [Goodbye Christopher Robin, stars, Will Tilston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Tilston Context triple: [Goodbye Christopher Robin, stars, Will Tilston]
-
A.
Erik Griggs
Erik Griggs is a songwriter and producer best known for co-writing the hit ballad "No Air" performed by Jordin Sparks and Chris Brown.
-
B.
Troy Barlow
Troy Barlow is a U.S. Army reservist and one of the central soldiers in the 1999 war film "Three Kings," portrayed by Mark Wahlberg.
-
C.
Justin Tipping
Justin Tipping is an American filmmaker and screenwriter known for his character-driven independent films and television work.
-
D.
Ben Stevens
Ben Stevens is an American lawyer and former Alaska state senator, best known as the son of longtime U.S. Senator Ted Stevens.
-
E.
Joe Layton
Joe Layton was an American director and choreographer known for his innovative work on Broadway musicals and stage productions.
- 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: Will Tilston Triple: [Goodbye Christopher Robin, stars, Will Tilston]
Generated description
Will Tilston is a British child actor best known for playing young Christopher Robin Milne in the film "Goodbye Christopher Robin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Will Tilston Target entity description: Will Tilston is a British child actor best known for playing young Christopher Robin Milne in the film "Goodbye Christopher Robin."
-
A.
Erik Griggs
Erik Griggs is a songwriter and producer best known for co-writing the hit ballad "No Air" performed by Jordin Sparks and Chris Brown.
-
B.
Troy Barlow
Troy Barlow is a U.S. Army reservist and one of the central soldiers in the 1999 war film "Three Kings," portrayed by Mark Wahlberg.
-
C.
Justin Tipping
Justin Tipping is an American filmmaker and screenwriter known for his character-driven independent films and television work.
-
D.
Ben Stevens
Ben Stevens is an American lawyer and former Alaska state senator, best known as the son of longtime U.S. Senator Ted Stevens.
-
E.
Joe Layton
Joe Layton was an American director and choreographer known for his innovative work on Broadway musicals and stage productions.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb031e8048190a5f2ea934308036c |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae008788190b3ebc09e73ec4952 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78bd316788190a245e8199f6ac87b |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c9f543481909a0de6a0c3bb041f |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:48 p.m.