Triple

T19583142
Position Surface form Disambiguated ID Type / Status
Subject Glory Road E490044 entity
Predicate hasMainCharacter P1183 FINISHED
Object Rufo
Rufo is a key character in Robert A. Heinlein’s science fantasy novel "Glory Road," serving as a seasoned, enigmatic guide and companion to the protagonist on a perilous quest.
 E1385741 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: Rufo | Statement: [Glory Road, hasMainCharacter, Rufo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rufo
Context triple: [Glory Road, hasMainCharacter, Rufo]
  • A. 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.
  • B. Rufus
    Rufus was a 1970s American funk and R&B band best known for launching Chaka Khan’s career and for hits like “Tell Me Something Good” and “Ain’t Nobody.”
  • C. Rufus
    Rufus is the given first name of American actor and director Alan Hale Sr., known for his prolific work in early Hollywood cinema.
  • D. Rufus
    Rufus is a cognomen historically used by members of the Roman gens Octavia, distinguishing a particular family branch within that lineage.
  • E. Rufus
    Rufus is a French actor best known internationally for his supporting role in the whimsical film "Amélie."
  • 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: Rufo
Triple: [Glory Road, hasMainCharacter, Rufo]
Generated description
Rufo is a key character in Robert A. Heinlein’s science fantasy novel "Glory Road," serving as a seasoned, enigmatic guide and companion to the protagonist on a perilous quest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rufo
Target entity description: Rufo is a key character in Robert A. Heinlein’s science fantasy novel "Glory Road," serving as a seasoned, enigmatic guide and companion to the protagonist on a perilous quest.
  • A. 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.
  • B. Rufus
    Rufus was a 1970s American funk and R&B band best known for launching Chaka Khan’s career and for hits like “Tell Me Something Good” and “Ain’t Nobody.”
  • C. Rufus
    Rufus is the given first name of American actor and director Alan Hale Sr., known for his prolific work in early Hollywood cinema.
  • D. Rufus
    Rufus is a cognomen historically used by members of the Roman gens Octavia, distinguishing a particular family branch within that lineage.
  • E. Rufus
    Rufus is a French actor best known internationally for his supporting role in the whimsical film "Amélie."
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6404f34b081908aeb9cc9a5ddf539 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f0f48b88190874f8cada3ed053d completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a07601bb12c81909faab959182b1863 completed May 15, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_6a07613541688190821fd97e069691a5 completed May 15, 2026, 6:08 p.m.
Created at: April 10, 2026, 1:42 p.m.