Triple

T14724430
Position Surface form Disambiguated ID Type / Status
Subject Frederick Elmes E345900 entity
Predicate familyName P18 FINISHED
Object Elmes
Elmes is a surname most notably associated with Frederick Elmes, an acclaimed American cinematographer known for his work on influential independent and art-house films.
 E1115381 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: Elmes | Statement: [Frederick Elmes, familyName, Elmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elmes
Context triple: [Frederick Elmes, familyName, Elmes]
  • A. Ewelme
    Ewelme is a historic village in Oxfordshire, England, noted for its medieval church, almshouses, and picturesque rural setting.
  • B. Galfard
    Galfard is the surname of Christophe Galfard, a French theoretical physicist and science communicator known for his popular science books.
  • C. Umberleigh
    Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
  • D. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • E. Elswit
    Elswit is the surname of Robert Elswit, an acclaimed American cinematographer known for his work on films such as "There Will Be Blood."
  • 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: Elmes
Triple: [Frederick Elmes, familyName, Elmes]
Generated description
Elmes is a surname most notably associated with Frederick Elmes, an acclaimed American cinematographer known for his work on influential independent and art-house films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elmes
Target entity description: Elmes is a surname most notably associated with Frederick Elmes, an acclaimed American cinematographer known for his work on influential independent and art-house films.
  • A. Ewelme
    Ewelme is a historic village in Oxfordshire, England, noted for its medieval church, almshouses, and picturesque rural setting.
  • B. Galfard
    Galfard is the surname of Christophe Galfard, a French theoretical physicist and science communicator known for his popular science books.
  • C. Umberleigh
    Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
  • D. Hawise
    Hawise is a medieval European female given name borne by several noblewomen in England and France.
  • E. Elswit
    Elswit is the surname of Robert Elswit, an acclaimed American cinematographer known for his work on films such as "There Will Be Blood."
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec25e9a14819081fa06fc601f295d completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf09791e081908a1262717fd31445 completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf32c1ec48190b28fb67e00b87fcd completed May 8, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_69fdf3cfd7b48190b5d6177c5bf0e42e completed May 8, 2026, 2:31 p.m.
Created at: April 10, 2026, 1:29 a.m.