Triple

T14786866
Position Surface form Disambiguated ID Type / Status
Subject Franz Ruff E347549 entity
Predicate familyName P18 FINISHED
Object Ruff
Ruff is a surname of German origin borne by various notable individuals across fields such as architecture, science, and the arts.
 E1119808 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: Ruff | Statement: [Franz Ruff, familyName, Ruff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruff
Context triple: [Franz Ruff, familyName, Ruff]
  • A. Rufus
    Rufus is the given first name of American actor and director Alan Hale Sr., known for his prolific work in early Hollywood cinema.
  • B. Rufus
    Rufus is a cognomen historically used by members of the Roman gens Octavia, distinguishing a particular family branch within that lineage.
  • C. Rufus
    Rufus is the time-traveling mentor from the comedy film "Bill & Ted’s Excellent Adventure," who guides the protagonists to ensure their destined future.
  • D. Rufus
    Rufus is a French actor best known internationally for his supporting role in the whimsical film "Amélie."
  • E. Rufus
    Rufus is a figure mentioned in the New Testament, traditionally identified as a Christian in Rome greeted by the Apostle Paul and believed to be the son of Simon of Cyrene.
  • 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: Ruff
Triple: [Franz Ruff, familyName, Ruff]
Generated description
Ruff is a surname of German origin borne by various notable individuals across fields such as architecture, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruff
Target entity description: Ruff is a surname of German origin borne by various notable individuals across fields such as architecture, science, and the arts.
  • A. Rufus
    Rufus is a cognomen historically used by members of the Roman gens Octavia, distinguishing a particular family branch within that lineage.
  • B. Rufus
    Rufus is the given first name of American actor and director Alan Hale Sr., known for his prolific work in early Hollywood cinema.
  • C. Rufus
    Rufus is the time-traveling mentor from the comedy film "Bill & Ted’s Excellent Adventure," who guides the protagonists to ensure their destined future.
  • D. Rufus
    Rufus is a French actor best known internationally for his supporting role in the whimsical film "Amélie."
  • E. Rufus
    Rufus is a masculine given name of Latin origin meaning "red-haired" or "red."
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b9e8a08190bc736ac207b77324 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe266a05308190b9f6adba3e635e2f completed May 8, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe26f8fb7881909892c381b16fc80a completed May 8, 2026, 6:10 p.m.
Created at: April 10, 2026, 1:31 a.m.