Triple

T15824351
Position Surface form Disambiguated ID Type / Status
Subject Dennis Cooper (The Texas Chainsaw Massacre 2003) E383697 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Morgan
Morgan is a character in the 2003 horror film "The Texas Chainsaw Massacre," portrayed as one of the ill-fated young travelers who encounter Leatherface and his murderous family.
 E1178109 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: Morgan | Statement: [Dennis Cooper (The Texas Chainsaw Massacre 2003), associatedWithCharacter, Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morgan
Context triple: [Dennis Cooper (The Texas Chainsaw Massacre 2003), associatedWithCharacter, Morgan]
  • A. Morgan
    Morgan is the middle name of the renowned English novelist and essayist E. M. Forster.
  • B. Morgan
    Morgan is a Chicago 'L' rapid transit station on the Near West Side serving the city's Pink and Green Lines.
  • C. Morgan
    Morgan is a given name used by the American documentary filmmaker Morgan Neville.
  • D. Morgan
    Morgan is a prominent law firm that forms part of the larger legal practice Lloyd, Morgan & Jones.
  • E. Morgan
    Morgan is the central protagonist of the novel "The Big House," around whom the story’s main events and character dynamics revolve.
  • 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: Morgan
Triple: [Dennis Cooper (The Texas Chainsaw Massacre 2003), associatedWithCharacter, Morgan]
Generated description
Morgan is a character in the 2003 horror film "The Texas Chainsaw Massacre," portrayed as one of the ill-fated young travelers who encounter Leatherface and his murderous family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morgan
Target entity description: Morgan is a character in the 2003 horror film "The Texas Chainsaw Massacre," portrayed as one of the ill-fated young travelers who encounter Leatherface and his murderous family.
  • A. Morgan
    Morgan is the central protagonist of the "Knight Riders" film, around whom the story’s modern-day jousting troupe and its conflicts revolve.
  • B. Morgan
    Morgan is a 2016 science fiction horror film about a genetically engineered human hybrid whose violent behavior leads to a crisis among the scientists who created her.
  • C. Morgan
    Morgan is the central protagonist of the novel "The Big House," around whom the story’s main events and character dynamics revolve.
  • D. Morgan
    Morgan is a central antagonist and powerful sorceress in the TV series "Camelot," often depicted as King Arthur’s ambitious and scheming half-sister.
  • E. Morgan
    Morgan is a given name used by the American documentary filmmaker Morgan Neville.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e5f46748190acb46cc482501307 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999bba548190a39adc2d0e11c605 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9a56d43c8190819deb48d59e16cb completed May 9, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69ff9acbd2b481908b9d415e26d0db81 completed May 9, 2026, 8:36 p.m.
Created at: April 10, 2026, 4:49 a.m.