Triple

T11660828
Position Surface form Disambiguated ID Type / Status
Subject Rufus Isaacs, 1st Marquess of Reading E277113 entity
Predicate givenName P17 FINISHED
Object Rufus
Rufus is a given name most notably borne by Rufus Isaacs, 1st Marquess of Reading, a prominent British lawyer, politician, and statesman.
 E938240 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: Rufus | Statement: [Rufus Isaacs, 1st Marquess of Reading, givenName, Rufus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rufus
Context triple: [Rufus Isaacs, 1st Marquess of Reading, givenName, Rufus]
  • 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 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 a cognomen historically used by members of the Roman gens Octavia, distinguishing a particular family branch within that lineage.
  • D. 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.
  • 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: Rufus
Triple: [Rufus Isaacs, 1st Marquess of Reading, givenName, Rufus]
Generated description
Rufus is a given name most notably borne by Rufus Isaacs, 1st Marquess of Reading, a prominent British lawyer, politician, and statesman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rufus
Target entity description: Rufus is a given name most notably borne by Rufus Isaacs, 1st Marquess of Reading, a prominent British lawyer, politician, and statesman.
  • A. Rufus chosen
    Rufus is a masculine given name of Latin origin meaning "red-haired" or "red."
  • 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 a cognomen historically used by members of the Roman gens Octavia, distinguishing a particular family branch within that lineage.
  • D. Rufus
    Rufus is a French actor best known internationally for his supporting role in the whimsical film "Amélie."
  • E. 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.
  • F. None of above.

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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d29fdc8190af46b6e2badb1df5 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef138faf4c81908043c71550048d75 completed April 27, 2026, 7:43 a.m.
NEDg Description generation batch_69ef3550fae881909246cd4cca047a19 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef519f95488190b4b5a167aa930133 completed April 27, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:39 p.m.