Triple

T16608537
Position Surface form Disambiguated ID Type / Status
Subject Vendidad E403506 entity
Predicate alsoKnownAs P39 FINISHED
Object Videvdad
Videvdad is a sacred Zoroastrian text that outlines religious laws, purity regulations, and mythological narratives aimed at combating evil.
 E1222362 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: Videvdad | Statement: [Vendidad, alsoKnownAs, Videvdad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Videvdad
Context triple: [Vendidad, alsoKnownAs, Videvdad]
  • A. Viddy
    Viddy was a mobile social video-sharing app that allowed users to create, edit, and share short video clips with an online community.
  • B. VIDO
    VIDO is a Canadian research organization at the University of Saskatchewan specializing in vaccine development and infectious disease research for both humans and animals.
  • C. Kvodo
    Kvodo is an Israeli legal drama television series that follows a respected judge whose life unravels after he becomes entangled in a hit-and-run cover-up involving his son.
  • D. Movima
    Movima is an indigenous language of the Bolivian lowlands, spoken by the Movima people primarily in the Beni Department.
  • E. Viceland
    Viceland was a cable television channel owned by Vice Media that focused on edgy, youth-oriented documentary and lifestyle programming.
  • 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: Videvdad
Triple: [Vendidad, alsoKnownAs, Videvdad]
Generated description
Videvdad is a sacred Zoroastrian text that outlines religious laws, purity regulations, and mythological narratives aimed at combating evil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Videvdad
Target entity description: Videvdad is a sacred Zoroastrian text that outlines religious laws, purity regulations, and mythological narratives aimed at combating evil.
  • A. Viddy
    Viddy was a mobile social video-sharing app that allowed users to create, edit, and share short video clips with an online community.
  • B. VIDO
    VIDO is a Canadian research organization at the University of Saskatchewan specializing in vaccine development and infectious disease research for both humans and animals.
  • C. Kvodo
    Kvodo is an Israeli legal drama television series that follows a respected judge whose life unravels after he becomes entangled in a hit-and-run cover-up involving his son.
  • D. Movima
    Movima is an indigenous language of the Bolivian lowlands, spoken by the Movima people primarily in the Beni Department.
  • E. Viceland
    Viceland was a cable television channel owned by Vice Media that focused on edgy, youth-oriented documentary and lifestyle programming.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36093901881909b85af47f75879a9 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aa79408190b395d4cd9c6c1cb7 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a00768e9720819094d4e11ee1e100d6 completed May 10, 2026, 12:14 p.m.
NED2 Entity disambiguation (via description) batch_6a007734abd481909c9c698f2aef7632 completed May 10, 2026, 12:16 p.m.
Created at: April 10, 2026, 5:17 a.m.