Triple
T15779366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Pearson |
E382571
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Parker Bates
Parker Bates is an American child actor best known for playing young Kevin Pearson on the television drama series "This Is Us."
|
E1177494
|
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: Parker Bates | Statement: [Kevin Pearson, portrayedBy, Parker Bates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parker Bates Context triple: [Kevin Pearson, portrayedBy, Parker Bates]
-
A.
Parker Sawyers
Parker Sawyers is an American actor best known for portraying a young Barack Obama in the film "Southside with You" and for his work in various international film and television productions.
-
B.
Parker Bennett
Parker Bennett is an American screenwriter best known for co-writing the 1993 live-action film adaptation of Super Mario Bros.
-
C.
Parker Thomson
Parker Thomson was a prominent Miami attorney and philanthropist known for his significant support of the performing arts.
-
D.
Jacob Parker
Jacob Parker is an actor known for his role in the American television sitcom "Evening Shade."
-
E.
Parker Harris
Parker Harris is a technology entrepreneur best known as a co-founder and longtime chief technology leader of the cloud-based software company Salesforce.
- 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: Parker Bates Triple: [Kevin Pearson, portrayedBy, Parker Bates]
Generated description
Parker Bates is an American child actor best known for playing young Kevin Pearson on the television drama series "This Is Us."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parker Bates Target entity description: Parker Bates is an American child actor best known for playing young Kevin Pearson on the television drama series "This Is Us."
-
A.
Parker Sawyers
Parker Sawyers is an American actor best known for portraying a young Barack Obama in the film "Southside with You" and for his work in various international film and television productions.
-
B.
Parker Bennett
Parker Bennett is an American screenwriter best known for co-writing the 1993 live-action film adaptation of Super Mario Bros.
-
C.
Parker Thomson
Parker Thomson was a prominent Miami attorney and philanthropist known for his significant support of the performing arts.
-
D.
Jacob Parker
Jacob Parker is an actor known for his role in the American television sitcom "Evening Shade."
-
E.
Parker Harris
Parker Harris is a technology entrepreneur best known as a co-founder and longtime chief technology leader of the cloud-based software company Salesforce.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e053fea90081908e3fe4f91475bead |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909f7f4481909cceb32e26af3780 |
completed | May 9, 2026, 7:53 p.m. |
| NEDg | Description generation | batch_69ff93cf529c819097537d87689aad93 |
completed | May 9, 2026, 8:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff944ac4248190a3d60c2486910eaf |
completed | May 9, 2026, 8:08 p.m. |
Created at: April 10, 2026, 4:48 a.m.