Triple

T1643605
Position Surface form Disambiguated ID Type / Status
Subject Noah Keen E35527 entity
Predicate familyName P18 FINISHED
Object Keen
Keen is a surname of English origin borne by various notable individuals across fields such as acting, sports, and academia.
E186652 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: Keen | Statement: [Noah Keen, familyName, Keen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keen
Context triple: [Noah Keen, familyName, Keen]
  • A. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • B. Klain
    Klain is the surname of Ron Klain, an American attorney and political operative who served as White House Chief of Staff under President Joe Biden.
  • C. Tabio
    Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
  • D. Kershaw
    Kershaw is a surname most famously associated with Clayton Kershaw, the elite Major League Baseball pitcher for the Los Angeles Dodgers.
  • E. Kelty
    Kelty is a former coal-mining village in Fife, Scotland, situated near Lochgelly and close to the M90 motorway.
  • 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: Keen
Triple: [Noah Keen, familyName, Keen]
Generated description
Keen is a surname of English origin borne by various notable individuals across fields such as acting, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keen
Target entity description: Keen is a surname of English origin borne by various notable individuals across fields such as acting, sports, and academia.
  • A. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • B. Klain
    Klain is the surname of Ron Klain, an American attorney and political operative who served as White House Chief of Staff under President Joe Biden.
  • C. Tabio
    Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
  • D. Kershaw
    Kershaw is a surname most famously associated with Clayton Kershaw, the elite Major League Baseball pitcher for the Los Angeles Dodgers.
  • E. Kelty
    Kelty is a former coal-mining village in Fife, Scotland, situated near Lochgelly and close to the M90 motorway.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a3f4d8c8190aa0a44d1c9b1a7f0 completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a0096c81909dc723d0db95481e completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad620fe35481909bf4751001e29161 completed March 8, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad626d42388190b6a961a84333bd21 completed March 8, 2026, 11:50 a.m.
Created at: March 4, 2026, 7:28 p.m.