Triple

T21929695
Position Surface form Disambiguated ID Type / Status
Subject Fannin E541534 entity
Predicate hasVariant P455 FINISHED
Object Fannon
Fannon is a variant form of the surname Fannin, an Irish-origin name associated with families that often trace their roots to County Laois and surrounding regions.
 E1509078 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: Fannon | Statement: [Fannin, hasVariant, Fannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fannon
Context triple: [Fannin, hasVariant, Fannon]
  • A. Fadden
    Fadden is a residential suburb in the Canberra region of the Australian Capital Territory.
  • B. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • C. Scarphe
    Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
  • D. Faron
    Faron is a masculine given name most notably associated with American country music singer Faron Young.
  • E. Folmar
    Folmar is a masculine given name of Scandinavian origin, most notably borne by the Danish-American film editor Folmar Blangsted.
  • 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: Fannon
Triple: [Fannin, hasVariant, Fannon]
Generated description
Fannon is a variant form of the surname Fannin, an Irish-origin name associated with families that often trace their roots to County Laois and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fannon
Target entity description: Fannon is a variant form of the surname Fannin, an Irish-origin name associated with families that often trace their roots to County Laois and surrounding regions.
  • A. Fadden
    Fadden is a residential suburb in the Canberra region of the Australian Capital Territory.
  • B. Fadden
    Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
  • C. Scarphe
    Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
  • D. Faron
    Faron is a masculine given name most notably associated with American country music singer Faron Young.
  • E. Folmar
    Folmar is a masculine given name of Scandinavian origin, most notably borne by the Danish-American film editor Folmar Blangsted.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fdd88081909dc7d4a05fb0ee35 completed April 28, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60e3ad4c8190a874b2659388556a completed May 18, 2026, 12:44 a.m.
NEDg Description generation batch_6a0a618e55c4819099ab070410e4f1a9 completed May 18, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0a621fe47081908575a17b9895395a completed May 18, 2026, 12:49 a.m.
Created at: April 16, 2026, 7:47 p.m.