Triple

T1532950
Position Surface form Disambiguated ID Type / Status
Subject Ava Gardner E32485 entity
Predicate givenName P17 FINISHED
Object Ava
Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
 E183843 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: Ava | Statement: [Ava Gardner, givenName, Ava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ava
Context triple: [Ava Gardner, givenName, Ava]
  • A. Lena
    Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
  • B. Emmie
    Emmie is a diminutive given name, typically used as a affectionate or informal variant of names like Emma.
  • C. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • D. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • E. Cailee
    Cailee is a feminine given name most notably borne by American actress Cailee Spaeny.
  • 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: Ava
Triple: [Ava Gardner, givenName, Ava]
Generated description
Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ava
Target entity description: Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
  • A. Lena
    Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
  • B. Emmie
    Emmie is a diminutive given name, typically used as a affectionate or informal variant of names like Emma.
  • C. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • D. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • E. Cailee
    Cailee is a feminine given name most notably borne by American actress Cailee Spaeny.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9081835e4819093dee004fdb027ff completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58b7e1088190af92bc0cc8fddfbe completed March 8, 2026, 11:08 a.m.
NEDg Description generation batch_69ad594334448190a3e8601541be00dd completed March 8, 2026, 11:10 a.m.
NED2 Entity disambiguation (via description) batch_69ad5a4ccf5481908e8e68c74be9c19e completed March 8, 2026, 11:15 a.m.
Created at: March 4, 2026, 7:26 p.m.