Triple

T11518013
Position Surface form Disambiguated ID Type / Status
Subject Ann Telnaes E273081 entity
Predicate familyName P18 FINISHED
Object Telnaes
Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
 E930772 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: Telnaes | Statement: [Ann Telnaes, familyName, Telnaes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Telnaes
Context triple: [Ann Telnaes, familyName, Telnaes]
  • A. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • B. Talne
    Talne is a small city in central Ukraine known for its historical architecture and location within Cherkasy Oblast.
  • C. Thalgau
    Thalgau is a municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
  • D. Tafna
    Tafna is a town in northwestern Algeria known historically as the site where the 1837 Treaty of Tafna was signed between French colonial authorities and Emir Abdelkader.
  • E. Aulnat
    Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
  • 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: Telnaes
Triple: [Ann Telnaes, familyName, Telnaes]
Generated description
Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Telnaes
Target entity description: Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
  • A. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • B. Talne
    Talne is a small city in central Ukraine known for its historical architecture and location within Cherkasy Oblast.
  • C. Thalgau
    Thalgau is a municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
  • D. Tafna
    Tafna is a town in northwestern Algeria known historically as the site where the 1837 Treaty of Tafna was signed between French colonial authorities and Emir Abdelkader.
  • E. Aulnat
    Aulnat is a commune in central France situated in the Puy-de-Dôme department within the Auvergne region.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcf927081908ef89eff7ad833b0 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e62530a6b08190a8ba3c410e79cf72 completed April 20, 2026, 1:08 p.m.
NEDg Description generation batch_69e62cf44018819094818f11ac653763 completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e674c3a98c8190b32dc6879cb3a5f9 completed April 20, 2026, 6:47 p.m.
Created at: April 8, 2026, 9:36 p.m.