Triple

T20293452
Position Surface form Disambiguated ID Type / Status
Subject Tamsen Donner E510085 entity
Predicate givenName P17 FINISHED
Object Tamsen
Tamsen was a member of the ill-fated Donner Party, remembered for her tragic death during the 1846–1847 Sierra Nevada ordeal.
E1423526 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: Tamsen | Statement: [Tamsen Donner, givenName, Tamsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamsen
Context triple: [Tamsen Donner, givenName, Tamsen]
  • A. Eilene
    Eilene is a given name, typically a feminine variant of Eileen used in English-speaking contexts.
  • B. Tonia
    Tonia is a feminine given name, typically used as a short form of Antonia.
  • C. Emeline
    Emeline is a feminine given name of French origin, historically used in English-speaking countries.
  • D. Arletta
    Arletta is a feminine given name of likely European origin, used for personal naming.
  • E. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • 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: Tamsen
Triple: [Tamsen Donner, givenName, Tamsen]
Generated description
Tamsen was a member of the ill-fated Donner Party, remembered for her tragic death during the 1846–1847 Sierra Nevada ordeal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tamsen
Target entity description: Tamsen was a member of the ill-fated Donner Party, remembered for her tragic death during the 1846–1847 Sierra Nevada ordeal.
  • A. Eilene
    Eilene is a given name, typically a feminine variant of Eileen used in English-speaking contexts.
  • B. Tonia
    Tonia is a feminine given name, typically used as a short form of Antonia.
  • C. Emeline
    Emeline is a feminine given name of French origin, historically used in English-speaking countries.
  • D. Arletta
    Arletta is a feminine given name of likely European origin, used for personal naming.
  • E. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67704262c8190bc903b733d849881 completed April 20, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08611590b481909235d7bbec2387bd completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a086282203881908726f58843a8ae5d completed May 16, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a08638b64a88190a068a2d0c15dc448 completed May 16, 2026, 12:31 p.m.
Created at: April 16, 2026, 11:13 a.m.