Triple

T10453376
Position Surface form Disambiguated ID Type / Status
Subject The Maze Runner E246488 entity
Predicate mainCharacter P1183 FINISHED
Object Thomas
Thomas is the brave and resourceful protagonist of *The Maze Runner* series, who awakens in a mysterious labyrinth with no memory of his past and becomes a key leader in the fight for survival and escape.
E866115 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: Thomas | Statement: [The Maze Runner, mainCharacter, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [The Maze Runner, mainCharacter, Thomas]
  • A. John
    John is the first name of Pete Ricketts, an American businessman and politician who has served as governor of Nebraska.
  • B. John
    John W. Tukey was an influential American mathematician and statistician known for pioneering exploratory data analysis and coining the term "bit."
  • C. John
    John is the given name of Colonel John Quincy, an American military officer and politician after whom John Quincy Adams was named.
  • D. John
    John is the given name of John Stewart, Earl of Mar, a Scottish nobleman and political figure.
  • E. John
    John is a fictional police detective and main character from the science fiction TV series "Almost Human."
  • 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: Thomas
Triple: [The Maze Runner, mainCharacter, Thomas]
Generated description
Thomas is the brave and resourceful protagonist of *The Maze Runner* series, who awakens in a mysterious labyrinth with no memory of his past and becomes a key leader in the fight for survival and escape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the brave and resourceful protagonist of *The Maze Runner* series, who awakens in a mysterious labyrinth with no memory of his past and becomes a key leader in the fight for survival and escape.
  • A. Thomas
    Thomas is the young and initially reluctant prince of Delain who becomes the central figure in Stephen King’s fantasy novel "The Eyes of the Dragon," evolving from a manipulated child into a more self-aware and courageous ruler.
  • B. Thomas
    Thomas is the given first name of American actor Tom Welling, best known for portraying Clark Kent in the television series "Smallville."
  • C. Thomas
    Thomas is the given first name of American actor Tom Sizemore, known for his intense supporting roles in crime and war films.
  • D. Thomas
    Thomas is the given first name of English actor Tom Hiddleston, known for his role as Loki in the Marvel Cinematic Universe.
  • E. Thomas
    Thomas is the first name of English actor Tom Felton, best known for playing Draco Malfoy in the Harry Potter film series.
  • 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_69d89fb27f5081909e78bd8029e65948 completed April 10, 2026, 6:58 a.m.
NEDg Description generation batch_69d8a43ae8a48190b1c05b6a91dfed9a completed April 10, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69d8b8fe1b9c8190b5a4787797ad7120 completed April 10, 2026, 8:46 a.m.
Created at: April 6, 2026, 12:17 p.m.