Triple

T2159899
Position Surface form Disambiguated ID Type / Status
Subject The Pink Panther (2006 film) E47975 entity
Predicate character P662 FINISHED
Object Xania
Xania is a glamorous pop star and key supporting character in the 2006 comedy film "The Pink Panther."
E240217 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: Xania | Statement: [The Pink Panther (2006 film), character, Xania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xania
Context triple: [The Pink Panther (2006 film), character, Xania]
  • A. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • B. Terina
    Terina was an ancient Greek-founded city in southern Italy’s Bruttium region, known as a significant coastal and commercial center in Magna Graecia.
  • C. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • D. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • E. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • 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: Xania
Triple: [The Pink Panther (2006 film), character, Xania]
Generated description
Xania is a glamorous pop star and key supporting character in the 2006 comedy film "The Pink Panther."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xania
Target entity description: Xania is a glamorous pop star and key supporting character in the 2006 comedy film "The Pink Panther."
  • A. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • B. Terina
    Terina was an ancient Greek-founded city in southern Italy’s Bruttium region, known as a significant coastal and commercial center in Magna Graecia.
  • C. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • D. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • E. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe8894d481908eda9363fd36fea6 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e9ceb08190871ff9c57ece23c0 completed March 9, 2026, 5:21 a.m.
NEDg Description generation batch_69ae5a3db428819083d73b4295c4e829 completed March 9, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_69ae5a9b72188190bceb31975461206f completed March 9, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:45 p.m.