Triple

T23140442
Position Surface form Disambiguated ID Type / Status
Subject I Have No Mouth, and I Must Scream E577444 entity
Predicate character P662 FINISHED
Object Ted
Ted is one of the tormented human survivors in Harlan Ellison’s dystopian science fiction story "I Have No Mouth, and I Must Scream," known for his paranoia, self-loathing, and unreliable narration.
 E1576027 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: Ted | Statement: [I Have No Mouth, and I Must Scream, character, Ted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ted
Context triple: [I Have No Mouth, and I Must Scream, character, Ted]
  • A. Ted
    Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
  • B. Ted
    Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
  • C. Ted
    Ted is the drummer best known for playing in the influential American punk rock band Dead Kennedys.
  • D. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • E. Tony
    Tony is the humanoid robot protagonist of Isaac Asimov’s science fiction short story “Satisfaction Guaranteed,” designed to interact closely with humans and explore the emotional and ethical implications of human–robot relationships.
  • 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: Ted
Triple: [I Have No Mouth, and I Must Scream, character, Ted]
Generated description
Ted is one of the tormented human survivors in Harlan Ellison’s dystopian science fiction story "I Have No Mouth, and I Must Scream," known for his paranoia, self-loathing, and unreliable narration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ted
Target entity description: Ted is one of the tormented human survivors in Harlan Ellison’s dystopian science fiction story "I Have No Mouth, and I Must Scream," known for his paranoia, self-loathing, and unreliable narration.
  • A. Ted
    Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
  • B. Ted
    Ted is a 2012 comedy film about a foul-mouthed living teddy bear, created by and starring Seth MacFarlane.
  • C. Ted
    Ted is the drummer best known for playing in the influential American punk rock band Dead Kennedys.
  • D. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • E. Tony
    Tony is a British actor and comedian best known for his improvisational work on the television show "Whose Line Is It Anyway?".
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ec922b481908084eee6a95aef83 completed April 29, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f3d44a8819086dc22a62313de0b completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c3fec592c8190a8d8ae47f310edd7 completed May 19, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4064012c819083b2ffe795226ab6 completed May 19, 2026, 10:50 a.m.
Created at: April 17, 2026, 4 p.m.