Triple

T1108413
Position Surface form Disambiguated ID Type / Status
Subject Rita Vrataski E25537 entity
Predicate languageOfWork P15 FINISHED
Object English (film)
English (film) is a cinematic work produced in the English language, likely featuring the character Rita Vrataski.
 E126861 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: English (film) | Statement: [Rita Vrataski, languageOfWork, English (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: English (film)
Context triple: [Rita Vrataski, languageOfWork, English (film)]
  • A. English
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • B. Kwéyòl
    Kwéyòl is a French-based Creole language spoken primarily in the Lesser Antilles, notably in Saint Lucia and Dominica.
  • C. Wellywood
    Wellywood is a playful nickname for Wellington, New Zealand, referencing its prominent film industry and association with director Peter Jackson.
  • D. Split
    Split is a historic coastal city in Croatia known for its ancient Roman architecture, including Diocletian's Palace, and its role as a major Adriatic port and cultural center.
  • E. Alleenspraak
    Alleenspraak is a significant Afrikaans poetry collection by N. P. van Wyk Louw that helped establish him as a leading figure in modern Afrikaans literature.
  • 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: English (film)
Triple: [Rita Vrataski, languageOfWork, English (film)]
Generated description
English (film) is a cinematic work produced in the English language, likely featuring the character Rita Vrataski.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: English (film)
Target entity description: English (film) is a cinematic work produced in the English language, likely featuring the character Rita Vrataski.
  • A. English
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • B. Kwéyòl
    Kwéyòl is a French-based Creole language spoken primarily in the Lesser Antilles, notably in Saint Lucia and Dominica.
  • C. Wellywood
    Wellywood is a playful nickname for Wellington, New Zealand, referencing its prominent film industry and association with director Peter Jackson.
  • D. Split
    Split is a historic coastal city in Croatia known for its ancient Roman architecture, including Diocletian's Palace, and its role as a major Adriatic port and cultural center.
  • E. Alleenspraak
    Alleenspraak is a significant Afrikaans poetry collection by N. P. van Wyk Louw that helped establish him as a leading figure in modern Afrikaans literature.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e6134481909f348986a25f65c6 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c4f65888190b48c2d220e62a26b completed March 7, 2026, 4:03 p.m.
NEDg Description generation batch_69ac500036f48190bab0bf4e07d5c9ae completed March 7, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ac508ca8e48190bfea6ad9b6920e78 completed March 7, 2026, 4:21 p.m.
Created at: March 1, 2026, 7:43 p.m.