Triple
T10453350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Maze Runner |
E246488
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Grant Pierce Myers
Grant Pierce Myers is a screenwriter best known for co-writing the film adaptation of the dystopian young adult novel "The Maze Runner."
|
E863489
|
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: Grant Pierce Myers | Statement: [The Maze Runner, screenwriter, Grant Pierce Myers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grant Pierce Myers Context triple: [The Maze Runner, screenwriter, Grant Pierce Myers]
-
A.
Kevin Myers
Kevin Myers is a central character in the American Pie film series, known as one of the core group of friends navigating relationships and adulthood.
-
B.
Tim Myers
Tim Myers is an American musician, songwriter, and producer best known as a former bassist and founding member of the pop rock band OneRepublic.
-
C.
Harry Myers
Harry Myers was an American actor and director best remembered for his role as the eccentric millionaire in Charlie Chaplin’s classic silent film "City Lights."
-
D.
Michael Myerberg
Michael Myerberg was an American theatrical producer and manager best known for his influential work on mid-20th-century Broadway productions.
-
E.
Larry Meyers
Larry Meyers is the father of comedian and television host Seth Meyers.
- 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: Grant Pierce Myers Triple: [The Maze Runner, screenwriter, Grant Pierce Myers]
Generated description
Grant Pierce Myers is a screenwriter best known for co-writing the film adaptation of the dystopian young adult novel "The Maze Runner."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grant Pierce Myers Target entity description: Grant Pierce Myers is a screenwriter best known for co-writing the film adaptation of the dystopian young adult novel "The Maze Runner."
-
A.
Kevin Myers
Kevin Myers is a central character in the American Pie film series, known as one of the core group of friends navigating relationships and adulthood.
-
B.
Tim Myers
Tim Myers is an American musician, songwriter, and producer best known as a former bassist and founding member of the pop rock band OneRepublic.
-
C.
Harry Myers
Harry Myers was an American actor and director best remembered for his role as the eccentric millionaire in Charlie Chaplin’s classic silent film "City Lights."
-
D.
Michael Myerberg
Michael Myerberg was an American theatrical producer and manager best known for his influential work on mid-20th-century Broadway productions.
-
E.
Larry Meyers
Larry Meyers is the father of comedian and television host Seth Meyers.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe0d73d48190acb687b96918e0cf |
completed | April 7, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f07c9f48190b0fce7740a2e003a |
completed | April 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69d886c562c081908aae846da8efb1a5 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dce21448190b093b4f548e29f84 |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:17 p.m.