Triple

T644662
Position Surface form Disambiguated ID Type / Status
Subject Samuel Fuller E11214 entity
Predicate familyName P18 FINISHED
Object Fuller
Fuller is a surname of English origin borne by numerous notable individuals across fields such as film, architecture, literature, and politics.
 E80984 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: Fuller | Statement: [Samuel Fuller, familyName, Fuller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fuller
Context triple: [Samuel Fuller, familyName, Fuller]
  • A. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • B. Reynolds
    Reynolds was a prominent Spanish professional cycling team, best known as the early-career squad of multiple Tour de France winner Miguel Indurain and later evolving into the Banesto team.
  • C. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • D. Graham
    Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
  • E. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • 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: Fuller
Triple: [Samuel Fuller, familyName, Fuller]
Generated description
Fuller is a surname of English origin borne by numerous notable individuals across fields such as film, architecture, literature, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fuller
Target entity description: Fuller is a surname of English origin borne by numerous notable individuals across fields such as film, architecture, literature, and politics.
  • A. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • B. Reynolds
    Reynolds was a prominent Spanish professional cycling team, best known as the early-career squad of multiple Tour de France winner Miguel Indurain and later evolving into the Banesto team.
  • C. Ficker
    Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
  • D. Graham
    Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-speaking countries.
  • E. Graham
    Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f19f9a08190b0bf6e19b32427ff completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57b5825a08190a528cc2034f2892f completed March 2, 2026, 11:58 a.m.
NEDg Description generation batch_69a57dbe4aa88190ad6d185f8151f85b completed March 2, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69a57e3b4d448190bd7f4a6249b7e3a1 completed March 2, 2026, 12:10 p.m.
Created at: March 1, 2026, 7:36 p.m.