Triple

T23394384
Position Surface form Disambiguated ID Type / Status
Subject Bertha Knight Landes E594111 entity
Predicate familyName P18 FINISHED
Object Landes
Landes is a surname most notably associated with Bertha Knight Landes, the first female mayor of a major American city (Seattle).
 E453922 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: Landes | Statement: [Bertha Knight Landes, familyName, Landes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Landes
Context triple: [Bertha Knight Landes, familyName, Landes]
  • A. Landes
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • B. Magland
    Magland is a commune in the Haute-Savoie department of southeastern France, situated in the Alps near the town of Cluses.
  • C. Ladonia
    Ladonia is a small unincorporated community located within Russell County, Alabama.
  • D. Rhegion
    Rhegion was an important ancient Greek city located at the southern tip of Italy, strategically positioned on the Strait of Messina.
  • E. Unstad
    Unstad is a small coastal village in Norway’s Lofoten archipelago, renowned for its dramatic Arctic scenery and world-class cold-water surfing.
  • 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: Landes
Triple: [Bertha Knight Landes, familyName, Landes]
Generated description
Landes is a surname most notably associated with Bertha Knight Landes, the first female mayor of a major American city (Seattle).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Landes
Target entity description: Landes is a surname most notably associated with Bertha Knight Landes, the first female mayor of a major American city (Seattle).
  • A. Landes chosen
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • B. Magland
    Magland is a commune in the Haute-Savoie department of southeastern France, situated in the Alps near the town of Cluses.
  • C. Ladonia
    Ladonia is a small unincorporated community located within Russell County, Alabama.
  • D. Rhegion
    Rhegion was an important ancient Greek city located at the southern tip of Italy, strategically positioned on the Strait of Messina.
  • E. Unstad
    Unstad is a small coastal village in Norway’s Lofoten archipelago, renowned for its dramatic Arctic scenery and world-class cold-water surfing.
  • F. None of above.

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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49eb3b881909da7f1c47c67c81f completed April 29, 2026, 6:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dedc3548190b7340fa46db37737 completed May 19, 2026, 12:56 p.m.
NEDg Description generation batch_6a0c5eb51fe08190a2f12988d03e7fb8 completed May 19, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5f58dd448190bdf6674d65098c3f completed May 19, 2026, 1:02 p.m.
Created at: April 17, 2026, 5:36 p.m.