Triple

T1528724
Position Surface form Disambiguated ID Type / Status
Subject Adrianne Palicki E32392 entity
Predicate familyName P18 FINISHED
Object Palicki
Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
 E177861 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: Palicki | Statement: [Adrianne Palicki, familyName, Palicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Palicki
Context triple: [Adrianne Palicki, familyName, Palicki]
  • A. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • B. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • C. Ignacy
    Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
  • D. Karol
    Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
  • E. Stanislaw
    Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
  • 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: Palicki
Triple: [Adrianne Palicki, familyName, Palicki]
Generated description
Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Palicki
Target entity description: Palicki is a surname most notably associated with American actress Adrianne Palicki, known for her roles in television and film.
  • A. Szaflary
    Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
  • B. Wiktor
    Wiktor is a masculine given name, primarily used in Slavic countries, that corresponds to the name Victor.
  • C. Ignacy
    Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
  • D. Karol
    Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
  • E. Stanislaw
    Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb1dfd1a48190804ca5f0fb6f5985 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad370463ac8190b7740b4d16499725 completed March 8, 2026, 8:44 a.m.
NEDg Description generation batch_69ad378e297c8190b5566e7989c3c5cd completed March 8, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_69ad38536434819090f0bc0e3199fe08 completed March 8, 2026, 8:50 a.m.
Created at: March 4, 2026, 7:26 p.m.