Triple

T11202821
Position Surface form Disambiguated ID Type / Status
Subject The Fury E265080 entity
Predicate starring P1507 FINISHED
Object Andrew Stevens
Andrew Stevens is an American actor, producer, and director known for his work in films and television since the 1970s.
 E912408 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: Andrew Stevens | Statement: [The Fury, starring, Andrew Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andrew Stevens
Context triple: [The Fury, starring, Andrew Stevens]
  • A. Allen Stevens
    Allen Stevens is a designer best known for creating the mission patch for NASA's Gemini 9A spaceflight.
  • B. Matthew Stevens
    Matthew Stevens is a contemporary jazz guitarist and composer known for his innovative work both as a bandleader and as a sought-after collaborator and producer.
  • C. Tom Stevens
    Tom Stevens is a fictional character played by actor Hugh Marlowe, best known from mid-20th-century American film and television.
  • D. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • E. Craig Stevens
    Craig Stevens was an American actor best known for his starring role as private detective Peter Gunn in the late-1950s television series of the same name.
  • 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: Andrew Stevens
Triple: [The Fury, starring, Andrew Stevens]
Generated description
Andrew Stevens is an American actor, producer, and director known for his work in films and television since the 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andrew Stevens
Target entity description: Andrew Stevens is an American actor, producer, and director known for his work in films and television since the 1970s.
  • A. Allen Stevens
    Allen Stevens is a designer best known for creating the mission patch for NASA's Gemini 9A spaceflight.
  • B. Matthew Stevens
    Matthew Stevens is a contemporary jazz guitarist and composer known for his innovative work both as a bandleader and as a sought-after collaborator and producer.
  • C. Tom Stevens
    Tom Stevens is a fictional character played by actor Hugh Marlowe, best known from mid-20th-century American film and television.
  • D. Don Stevens
    Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
  • E. Craig Stevens
    Craig Stevens was an American actor best known for his starring role as private detective Peter Gunn in the late-1950s television series of the same name.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c36c188190bfa4d5f8e6cbbbea completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad0984e08190af9c8263cc2a079d completed April 19, 2026, 10:23 a.m.
NEDg Description generation batch_69e4b12c04e48190ad7546d556a5109f completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b2949c7c8190820b7f1f87e00602 completed April 19, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:29 p.m.