Triple

T12261052
Position Surface form Disambiguated ID Type / Status
Subject The Dark Mirror E292224 entity
Predicate editedBy P1954 FINISHED
Object Ernest J. Nims
Ernest J. Nims was an American film editor active during Hollywood’s classic era, known for his work on numerous studio features.
 E1189362 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: Ernest J. Nims | Statement: [The Dark Mirror, editedBy, Ernest J. Nims]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ernest J. Nims
Context triple: [The Dark Mirror, editedBy, Ernest J. Nims]
  • A. Edward D. Barnes
    Edward D. Barnes is a composer best known for creating the musical score for the film "The Newton Boys."
  • B. Robert N. Davoren
    Robert N. Davoren was a notable figure in New York City's correctional system, commemorated by having a Rikers Island jail facility named in his honor.
  • C. Fred M. Wilcox
    Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
  • D. Edward M. Kern
    Edward M. Kern was a 19th-century American topographer and explorer after whom California’s Kern County was named.
  • E. Edwin Blashfield
    Edwin Blashfield was an American muralist and painter best known for his large-scale allegorical works in prominent public buildings across the United States.
  • 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: Ernest J. Nims
Triple: [The Dark Mirror, editedBy, Ernest J. Nims]
Generated description
Ernest J. Nims was an American film editor active during Hollywood’s classic era, known for his work on numerous studio features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ernest J. Nims
Target entity description: Ernest J. Nims was an American film editor active during Hollywood’s classic era, known for his work on numerous studio features.
  • A. Edward D. Barnes
    Edward D. Barnes is a composer best known for creating the musical score for the film "The Newton Boys."
  • B. Robert N. Davoren
    Robert N. Davoren was a notable figure in New York City's correctional system, commemorated by having a Rikers Island jail facility named in his honor.
  • C. Fred M. Wilcox
    Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
  • D. Edward M. Kern
    Edward M. Kern was a 19th-century American topographer and explorer after whom California’s Kern County was named.
  • E. Edwin Blashfield
    Edwin Blashfield was an American muralist and painter best known for his large-scale allegorical works in prominent public buildings across the United States.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cd964ec81908241d2b9a96d1025 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0513f88190b2405ffc32f1e9c7 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd0bfc05881908d7223c52050ea14 completed May 10, 2026, 12:26 a.m.
NED2 Entity disambiguation (via description) batch_69ffd159dbcc81908ac586a6b8de57cf completed May 10, 2026, 12:29 a.m.
Created at: April 8, 2026, 9:52 p.m.