Triple

T16108703
Position Surface form Disambiguated ID Type / Status
Subject Glena Goranson E390810 entity
Predicate familyName P18 FINISHED
Object Goranson
Goranson is a surname of likely Scandinavian origin borne by various individuals and families.
E1194399 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: Goranson | Statement: [Glena Goranson, familyName, Goranson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goranson
Context triple: [Glena Goranson, familyName, Goranson]
  • A. Garron
    Garron is a charming yet unscrupulous conman from the Doctor Who serial "The Ribos Operation," known for orchestrating elaborate planetary fraud schemes.
  • B. Godehart
    Godehart is a German given name, serving as a variant form of the name Gotthard.
  • C. Conerly
    Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
  • D. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • E. Guston
    Guston is a small village and civil parish in the Dover District of Kent, England.
  • 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: Goranson
Triple: [Glena Goranson, familyName, Goranson]
Generated description
Goranson is a surname of likely Scandinavian origin borne by various individuals and families.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Goranson
Target entity description: Goranson is a surname of likely Scandinavian origin borne by various individuals and families.
  • A. Garron
    Garron is a charming yet unscrupulous conman from the Doctor Who serial "The Ribos Operation," known for orchestrating elaborate planetary fraud schemes.
  • B. Godehart
    Godehart is a German given name, serving as a variant form of the name Gotthard.
  • C. Conerly
    Conerly is a surname most notably associated with Charlie Conerly, a prominent mid-20th-century American football quarterback.
  • D. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • E. Guston
    Guston is a small village and civil parish in the Dover District of Kent, England.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20165aa9c81908c5358cca2b0d0fe completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba4479c81909f7d43e33f228f7e completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffecb8c71481908b4913bb078b6415 completed May 10, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_69ffed469a5c8190932fa4ebc44358c4 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 5 a.m.