Triple

T2636070
Position Surface form Disambiguated ID Type / Status
Subject Alana Beard E59748 entity
Predicate givenName P17 FINISHED
Object Alana
Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
E284352 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: Alana | Statement: [Alana Beard, givenName, Alana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alana
Context triple: [Alana Beard, givenName, Alana]
  • A. Adrienne
    Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • B. Adrianne
    Adrianne is a feminine given name most notably borne by American actress Adrianne Palicki.
  • C. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • D. Danielle
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • E. Brenna
    Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
  • 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: Alana
Triple: [Alana Beard, givenName, Alana]
Generated description
Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alana
Target entity description: Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
  • A. Adrienne
    Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
  • B. Adrianne
    Adrianne is a feminine given name most notably borne by American actress Adrianne Palicki.
  • C. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • D. Danielle
    "Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
  • E. Brenna
    Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e1fffc81908e4921690098c8db completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90ac94d48190b3138abac9934ec8 completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af91625bd481908d3666af3cd3733f completed March 10, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_69af91fb3c6c8190976fc6ed0e40b09d completed March 10, 2026, 3:37 a.m.
Created at: March 6, 2026, 9:50 p.m.