Triple

T1201058
Position Surface form Disambiguated ID Type / Status
Subject The Wedding March E25781 entity
Predicate featuresCharacter P626 FINISHED
Object Mitti
Mitti is a character appearing in the film "The Wedding March."
 E136049 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: Mitti | Statement: [The Wedding March, featuresCharacter, Mitti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mitti
Context triple: [The Wedding March, featuresCharacter, Mitti]
  • A. Areia
    Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
  • B. Talx
    Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
  • C. Rùm
    Rùm is a small, rugged island in Scotland’s Inner Hebrides, known for its dramatic mountainous landscape, wildlife, and status as a National Nature Reserve.
  • D. Malwa
    Malwa is a historical region in central India, known for its fertile plateau, strategic location, and significant role in medieval and early modern Indian politics and culture.
  • E. Bitra
    Bitra is a tiny, sparsely populated coral island in India’s Lakshadweep archipelago, known as one of the country’s least inhabited inhabited islands.
  • 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: Mitti
Triple: [The Wedding March, featuresCharacter, Mitti]
Generated description
Mitti is a character appearing in the film "The Wedding March."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mitti
Target entity description: Mitti is a character appearing in the film "The Wedding March."
  • A. Areia
    Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
  • B. Talx
    Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
  • C. Rùm
    Rùm is a small, rugged island in Scotland’s Inner Hebrides, known for its dramatic mountainous landscape, wildlife, and status as a National Nature Reserve.
  • D. Malwa
    Malwa is a historical region in central India, known for its fertile plateau, strategic location, and significant role in medieval and early modern Indian politics and culture.
  • E. Bitra
    Bitra is a tiny, sparsely populated coral island in India’s Lakshadweep archipelago, known as one of the country’s least inhabited inhabited islands.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9ec3488190afe35af54efae5e9 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac765c58d48190bbd460663d965097 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac76f20f308190be3c831eb2d59763 completed March 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac775a43d881908f12026a38fba2c8 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:46 p.m.