Triple

T11034968
Position Surface form Disambiguated ID Type / Status
Subject Ava Lowle Willing E260856 entity
Predicate givenName P17 FINISHED
Object Lowle
Lowle is the given name of Ava Lowle Willing, an American socialite known for her marriages into the Astor and Belmont families during the late 19th and early 20th centuries.
 E902058 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: Lowle | Statement: [Ava Lowle Willing, givenName, Lowle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lowle
Context triple: [Ava Lowle Willing, givenName, Lowle]
  • A. Zalmon
    Zalmon is a masculine given name of Hebrew origin, historically borne by several American businessmen and public figures.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Blaquiere
    Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
  • D. Everschop
    Everschop was a former historical region or administrative unit that later became part of the Eiderstedt peninsula in northern Germany.
  • E. Baralbins
    Baralbins are the inhabitants of the French commune of Bar-sur-Aube in the Grand Est region of northeastern France.
  • 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: Lowle
Triple: [Ava Lowle Willing, givenName, Lowle]
Generated description
Lowle is the given name of Ava Lowle Willing, an American socialite known for her marriages into the Astor and Belmont families during the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lowle
Target entity description: Lowle is the given name of Ava Lowle Willing, an American socialite known for her marriages into the Astor and Belmont families during the late 19th and early 20th centuries.
  • A. Zalmon
    Zalmon is a masculine given name of Hebrew origin, historically borne by several American businessmen and public figures.
  • B. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • C. Blaquiere
    Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
  • D. Everschop
    Everschop was a former historical region or administrative unit that later became part of the Eiderstedt peninsula in northern Germany.
  • E. Baralbins
    Baralbins are the inhabitants of the French commune of Bar-sur-Aube in the Grand Est region of northeastern France.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e839e88190957c2eabf260c203 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9b70074819084c725c5babf2fb7 completed April 18, 2026, 3:56 p.m.
NEDg Description generation batch_69e3ad00b5c08190a7bf3ecbeae76d88 completed April 18, 2026, 4:10 p.m.
NED2 Entity disambiguation (via description) batch_69e3b1efe4a88190884eb5186954cf39 completed April 18, 2026, 4:31 p.m.
Created at: April 8, 2026, 9:25 p.m.