Triple

T36161491
Position Surface form Disambiguated ID Type / Status
Subject The Furies E1045889 entity
Predicate WendellCoreyRole P184971 FINISHED
Object Rip Darrow
Rip Darrow is a fictional character portrayed by Wendell Corey in the 1950 Western film "The Furies."
 E2172518 NE FINISHED

How this triple was built (3 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: Rip Darrow | Statement: [The Furies, WendellCoreyRole, Rip Darrow]
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: Rip Darrow
Triple: [The Furies, WendellCoreyRole, Rip Darrow]
Generated description
Rip Darrow is a fictional character portrayed by Wendell Corey in the 1950 Western film "The Furies."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: WendellCoreyRole
Context triple: [The Furies, WendellCoreyRole, Rip Darrow]
  • A. CorwinRole
    Indicates that an entity holds or is assigned a specific role or function in relation to Corwin.
  • B. roleOfBen Wells
    Indicates the specific role, position, or character that Ben Wells holds or performs in a given context.
  • C. roleInWZRD
    Indicates that an entity holds a specific role or function within the context of WZRD.
  • D. roleForWinnieFoster
    Indicates that something serves as a role or character assigned to Winnie Foster.
  • E. servesRole
    Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
  • F. None of above. chosen

Provenance (7 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_69f76e38903c8190a52887620f90aabe completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b69b333081909cadbed3fcb8ecf5 completed May 3, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a390d54d3f081908443ab107e0389e1 completed June 22, 2026, 10:24 a.m.
NEDg Description generation batch_6a390dc2e07c8190a0d3f095f67478b1 completed June 22, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_6a39109ebb2c8190b1f85279a7506977 completed June 22, 2026, 10:38 a.m.
PD Predicate disambiguation batch_69f7b4c2a5f8819094ad4621d7b97e0c completed May 3, 2026, 8:49 p.m.
PDg Predicate description generation batch_69f7b69a74a08190b31b1201278a2c57 completed May 3, 2026, 8:56 p.m.
Created at: May 3, 2026, 4:08 p.m.