Triple
T5532935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overdrive |
E145091
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Brett Hedlund
Brett Hedlund is an editor known for his work on the comic series "Overdrive."
|
E531175
|
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: Brett Hedlund | Statement: [Overdrive, editedBy, Brett Hedlund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brett Hedlund Context triple: [Overdrive, editedBy, Brett Hedlund]
-
A.
Brett Hedblom
Brett Hedblom is a television producer best known for his executive production work on the Netflix drama series "Maid."
-
B.
Trevor Bardette
Trevor Bardette was an American character actor known for his prolific appearances in Westerns and film serials from the 1930s through the 1960s.
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Trent Baalke
Trent Baalke is an American football executive best known for his tenure as an NFL general manager, including leading front offices for multiple franchises.
-
E.
Cory Hardrict
Cory Hardrict is an American actor known for his work in film and television, including roles in projects like "American Sniper," "Brotherly Love," and various TV dramas.
- 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: Brett Hedlund Triple: [Overdrive, editedBy, Brett Hedlund]
Generated description
Brett Hedlund is an editor known for his work on the comic series "Overdrive."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brett Hedlund Target entity description: Brett Hedlund is an editor known for his work on the comic series "Overdrive."
-
A.
Brett Hedblom
Brett Hedblom is a television producer best known for his executive production work on the Netflix drama series "Maid."
-
B.
Trevor Bardette
Trevor Bardette was an American character actor known for his prolific appearances in Westerns and film serials from the 1930s through the 1960s.
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Trent Baalke
Trent Baalke is an American football executive best known for his tenure as an NFL general manager, including leading front offices for multiple franchises.
-
E.
Cory Hardrict
Cory Hardrict is an American actor known for his work in film and television, including roles in projects like "American Sniper," "Brotherly Love," and various TV dramas.
- 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.