Triple

T13831027
Position Surface form Disambiguated ID Type / Status
Subject Van Wilder E332397 entity
Predicate character P662 FINISHED
Object Taj Mahal Badalandabad
Taj Mahal Badalandabad is a comedic character in the "Van Wilder" film series, portrayed as an enthusiastic and naive Indian student who becomes Van Wilder’s devoted assistant and friend.
E1065206 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: Taj Mahal Badalandabad | Statement: [Van Wilder, character, Taj Mahal Badalandabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taj Mahal Badalandabad
Context triple: [Van Wilder, character, Taj Mahal Badalandabad]
  • A. Taj Mahal
    The Taj Mahal is a 17th-century white marble mausoleum in Agra, India, renowned worldwide as a masterpiece of Mughal architecture and a symbol of enduring love.
  • B. Taj Mahal
    Taj Mahal is an American blues musician and singer-songwriter known for blending traditional blues with elements of world music, including Caribbean, African, and Hawaiian influences.
  • C. Taj
    Taj was the former name of Esteghlal F.C., one of Iran’s most successful and popular football clubs.
  • D. Taj
    Taj is an American actor and musician best known as the son of Aerosmith frontman Steven Tyler.
  • E. Taj
    Taj is a luxury hospitality brand known for its upscale hotels, resorts, and palaces operated by Taj Hotels.
  • 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: Taj Mahal Badalandabad
Triple: [Van Wilder, character, Taj Mahal Badalandabad]
Generated description
Taj Mahal Badalandabad is a comedic character in the "Van Wilder" film series, portrayed as an enthusiastic and naive Indian student who becomes Van Wilder’s devoted assistant and friend.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taj Mahal Badalandabad
Target entity description: Taj Mahal Badalandabad is a comedic character in the "Van Wilder" film series, portrayed as an enthusiastic and naive Indian student who becomes Van Wilder’s devoted assistant and friend.
  • A. Taj Mahal
    The Taj Mahal is a 17th-century white marble mausoleum in Agra, India, renowned worldwide as a masterpiece of Mughal architecture and a symbol of enduring love.
  • B. Taj Mahal
    Taj Mahal is an American blues musician and singer-songwriter known for blending traditional blues with elements of world music, including Caribbean, African, and Hawaiian influences.
  • C. Taj
    Taj is an American actor and musician best known as the son of Aerosmith frontman Steven Tyler.
  • D. Taj
    Taj is a luxury hospitality brand known for its upscale hotels, resorts, and palaces operated by Taj Hotels.
  • E. Taj
    Taj was the former name of Esteghlal F.C., one of Iran’s most successful and popular football clubs.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0eb7f44819087b1d24e4235a972 completed May 3, 2026, 9:40 p.m.
NEDg Description generation batch_69f7c18a032481909fc1e97883062170 completed May 3, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69f7c21231f48190ae6e2bdb2bbc0afd completed May 3, 2026, 9:45 p.m.
Created at: April 9, 2026, 10:13 p.m.