Triple
T13581453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylan Schmid |
E324426
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object |
Young Sam
Young Sam is a character portrayed by actor Dylan Schmid, likely representing a younger version of a main character named Sam in a film or television production.
|
E1048025
|
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: Young Sam | Statement: [Dylan Schmid, hasRole, Young Sam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Young Sam Context triple: [Dylan Schmid, hasRole, Young Sam]
-
A.
Sycamore Sam
Sycamore Sam is the costumed mascot representing Indiana State University's athletic teams, especially the men's basketball program.
-
B.
Young Jonn
Young Jonn is a Nigerian record producer and singer known for crafting hit Afrobeats tracks and collaborating with prominent artists in the contemporary Nigerian music scene.
-
C.
Young Gavin
Young Gavin is a music producer known for his work on the album "Broken Silence."
-
D.
Sam (character)
Sam is a fictional character associated with the "Wolf" character, often appearing alongside him in animated or narrative works.
-
E.
Boy A
Boy A is a 2007 British drama film starring Andrew Garfield as a young man trying to rebuild his life after being released from prison for a notorious childhood crime.
- 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: Young Sam Triple: [Dylan Schmid, hasRole, Young Sam]
Generated description
Young Sam is a character portrayed by actor Dylan Schmid, likely representing a younger version of a main character named Sam in a film or television production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Young Sam Target entity description: Young Sam is a character portrayed by actor Dylan Schmid, likely representing a younger version of a main character named Sam in a film or television production.
-
A.
Sycamore Sam
Sycamore Sam is the costumed mascot representing Indiana State University's athletic teams, especially the men's basketball program.
-
B.
Young Jonn
Young Jonn is a Nigerian record producer and singer known for crafting hit Afrobeats tracks and collaborating with prominent artists in the contemporary Nigerian music scene.
-
C.
Young Gavin
Young Gavin is a music producer known for his work on the album "Broken Silence."
-
D.
Sam (character)
Sam is a fictional character associated with the "Wolf" character, often appearing alongside him in animated or narrative works.
-
E.
Boy A
Boy A is a 2007 British drama film starring Andrew Garfield as a young man trying to rebuild his life after being released from prison for a notorious childhood crime.
- 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_69f76bbf946c8190ba3d2b87cb11dc9d |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77642e4b881909915c686a0d6c6fa |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7792601748190ba2b95fbfc9f8a3a |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:48 p.m.