Triple
T5532943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overdrive |
E145091
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Andrew Foster
Andrew Foster is a fictional character appearing in the Overdrive series.
|
E531176
|
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: Andrew Foster | Statement: [Overdrive, featuresCharacter, Andrew Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Foster Context triple: [Overdrive, featuresCharacter, Andrew Foster]
-
A.
James Foster
James Foster is an economist known for his influential work on poverty measurement and social welfare, including co-developing the widely used Foster-Greer-Thorbecke (FGT) poverty indices.
-
B.
Phil Foster
Phil Foster was an American actor and comedian best known for playing Laverne’s father, Frank DeFazio, on the sitcom "Laverne & Shirley."
-
C.
Jim Foster
Jim Foster is an American sports executive best known as the creator and founding figure of the Arena Football League.
-
D.
Ray Foster
Ray Foster is a fictional record executive character in the 2018 Queen biographical film "Bohemian Rhapsody," loosely inspired by real-life EMI executive Roy Featherstone.
-
E.
Andrew Clark
Andrew Clark is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
- 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: Andrew Foster Triple: [Overdrive, featuresCharacter, Andrew Foster]
Generated description
Andrew Foster is a fictional character appearing in the Overdrive series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Foster Target entity description: Andrew Foster is a fictional character appearing in the Overdrive series.
-
A.
James Foster
James Foster is an economist known for his influential work on poverty measurement and social welfare, including co-developing the widely used Foster-Greer-Thorbecke (FGT) poverty indices.
-
B.
Phil Foster
Phil Foster was an American actor and comedian best known for playing Laverne’s father, Frank DeFazio, on the sitcom "Laverne & Shirley."
-
C.
Jim Foster
Jim Foster is an American sports executive best known as the creator and founding figure of the Arena Football League.
-
D.
Ray Foster
Ray Foster is a fictional record executive character in the 2018 Queen biographical film "Bohemian Rhapsody," loosely inspired by real-life EMI executive Roy Featherstone.
-
E.
Andrew Clark
Andrew Clark is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f9ea2c88190a68642f5799bd8ff |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0280cb42c8190bf5ba546aca5edce |
completed | March 22, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c03f22df188190a63f9bf328e2bbba |
completed | March 22, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03fb5e34481908b260735bb299254 |
completed | March 22, 2026, 7:15 p.m. |
Created at: March 22, 2026, 3:34 p.m.