Triple

T13309295
Position Surface form Disambiguated ID Type / Status
Subject Adrienne Arsht E317017 entity
Predicate hasFamilyName P18 FINISHED
Object Arsht
Arsht is the surname of Adrienne Arsht, a prominent American business leader and philanthropist known for her major contributions to the arts and civic causes.
 E1032159 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: Arsht | Statement: [Adrienne Arsht, hasFamilyName, Arsht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arsht
Context triple: [Adrienne Arsht, hasFamilyName, Arsht]
  • A. Artaria
    Artaria was a prominent Viennese music publishing house known for issuing works by major Classical-era composers such as Mozart and Haydn.
  • B. Yasna
    Yasna is a central Zoroastrian liturgical ceremony and its associated collection of sacred texts, forming one of the core sections of the Avesta.
  • C. Parsa
    Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
  • D. Akhsar
    Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
  • E. Azarbarzin
    Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
  • 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: Arsht
Triple: [Adrienne Arsht, hasFamilyName, Arsht]
Generated description
Arsht is the surname of Adrienne Arsht, a prominent American business leader and philanthropist known for her major contributions to the arts and civic causes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arsht
Target entity description: Arsht is the surname of Adrienne Arsht, a prominent American business leader and philanthropist known for her major contributions to the arts and civic causes.
  • A. Artaria
    Artaria was a prominent Viennese music publishing house known for issuing works by major Classical-era composers such as Mozart and Haydn.
  • B. Yasna
    Yasna is a central Zoroastrian liturgical ceremony and its associated collection of sacred texts, forming one of the core sections of the Avesta.
  • C. Parsa
    Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
  • D. Akhsar
    Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
  • E. Azarbarzin
    Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990f56abc8190951774a999e2ce11 completed April 11, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e58cc48190afb46e8394227ab5 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7179da5488190a10acadbf60ea470 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f71847e7308190ac6f59a7dcafa452 completed May 3, 2026, 9:41 a.m.
Created at: April 9, 2026, 9:29 p.m.