Triple

T14345498
Position Surface form Disambiguated ID Type / Status
Subject Elinor Donahue E355707 entity
Predicate familyName P18 FINISHED
Object Donahue
Donahue is a surname most notably associated with American actress Elinor Donahue, known for her roles in classic television series.
 E1093549 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: Donahue | Statement: [Elinor Donahue, familyName, Donahue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Donahue
Context triple: [Elinor Donahue, familyName, Donahue]
  • A. Donohoe
    Donohoe is an Irish surname borne by various notable figures in politics, sports, and the arts.
  • B. Michell
    Michell is a given name and surname that functions as a variant spelling of Mitchell.
  • C. Chabot
    Chabot is a surname most notably associated with Anthony Chabot, a 19th-century entrepreneur and pioneer in California’s water supply and hydraulic mining industries.
  • D. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • E. Sandage
    Sandage is a surname most notably associated with Allan R. Sandage, a prominent American astronomer known for his work on the expansion rate and age of the universe.
  • 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: Donahue
Triple: [Elinor Donahue, familyName, Donahue]
Generated description
Donahue is a surname most notably associated with American actress Elinor Donahue, known for her roles in classic television series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Donahue
Target entity description: Donahue is a surname most notably associated with American actress Elinor Donahue, known for her roles in classic television series.
  • A. Donohoe
    Donohoe is an Irish surname borne by various notable figures in politics, sports, and the arts.
  • B. Michell
    Michell is a given name and surname that functions as a variant spelling of Mitchell.
  • C. Chabot
    Chabot is a surname most notably associated with Anthony Chabot, a 19th-century entrepreneur and pioneer in California’s water supply and hydraulic mining industries.
  • D. Tuthill
    Tuthill is a surname most notably associated with William Burnet Tuthill, the American architect who designed Carnegie Hall in New York City.
  • E. Sandage
    Sandage is a surname most notably associated with Allan R. Sandage, a prominent American astronomer known for his work on the expansion rate and age of the universe.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469f63b881909c164b1aaadcc15d completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47bbc5e081908aa8b0e76661234f completed May 8, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd4840f0688190975d8c3c7eefb132 completed May 8, 2026, 2:19 a.m.
Created at: April 10, 2026, 1:14 a.m.