Triple

T17084780
Position Surface form Disambiguated ID Type / Status
Subject Altered States E414565 entity
Predicate authorAlsoKnownFor P15030 FINISHED
Object Marty
Marty is a notable work—originally a teleplay and later an acclaimed film—by screenwriter Paddy Chayefsky, who is also known for writing Altered States.
 E51894 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: Marty | Statement: [Altered States, authorAlsoKnownFor, Marty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marty
Context triple: [Altered States, authorAlsoKnownFor, Marty]
  • A. Marty
    Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
  • B. Marty
    Marty is a common diminutive form of the given name Martin, often used as a familiar or informal nickname.
  • C. Marty
    Marty is a common diminutive form of the given name Martha.
  • D. Marty
    Marty is a surname of French origin, notably borne by figures such as André Marty, a prominent French communist and political activist.
  • E. Marty
    Marty is a central character in the 1996 ensemble drama film "Beautiful Girls," known for her youthful charm and pivotal role in the story’s exploration of love and growing up.
  • 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: Marty
Triple: [Altered States, authorAlsoKnownFor, Marty]
Generated description
Marty is a notable work—originally a teleplay and later an acclaimed film—by screenwriter Paddy Chayefsky, who is also known for writing Altered States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marty
Target entity description: Marty is a notable work—originally a teleplay and later an acclaimed film—by screenwriter Paddy Chayefsky, who is also known for writing Altered States.
  • A. Marty chosen
    Marty is a 1955 American romantic drama film that won the Academy Award for Best Picture and is renowned for its poignant portrayal of a lonely butcher’s search for love.
  • B. Marty
    Marty is the commonly used nickname of Marty Schottenheimer, a prominent former NFL head coach known for his long tenure and regular-season success.
  • C. Marty
    Marty is a central character in the 1996 ensemble drama film "Beautiful Girls," known for her youthful charm and pivotal role in the story’s exploration of love and growing up.
  • D. Marty
    Marty is a common diminutive form of the given name Martha.
  • E. Marty
    Marty is a common diminutive form of the given name Martin, often used as a familiar or informal nickname.
  • F. None of above.

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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe60d588190963ccd4c86af1233 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee651ec8190a37c5997f394d24b completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012ff7788c819086b2e6c0e382014c completed May 11, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0130dbe1f8819095b2d36882bf3287 completed May 11, 2026, 1:29 a.m.
Created at: April 10, 2026, 5:35 a.m.