Triple

T11851835
Position Surface form Disambiguated ID Type / Status
Subject Taj Hotels E281925 entity
Predicate hasBrand P1500 FINISHED
Object Taj
Taj is a luxury hospitality brand known for its upscale hotels, resorts, and palaces operated by Taj Hotels.
 E948898 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 | Statement: [Taj Hotels, hasBrand, Taj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taj
Context triple: [Taj Hotels, hasBrand, Taj]
  • A. Taj
    Taj was the former name of Esteghlal F.C., one of Iran’s most successful and popular football clubs.
  • B. Taj
    Taj is an American actor and musician best known as the son of Aerosmith frontman Steven Tyler.
  • C. Kamar-Taj
    Kamar-Taj is a hidden mystical sanctuary and training ground for sorcerers in the Marvel universe, where masters of the mystic arts teach magic and defend reality from supernatural threats.
  • D. 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.
  • E. 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.
  • 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
Triple: [Taj Hotels, hasBrand, Taj]
Generated description
Taj is a luxury hospitality brand known for its upscale hotels, resorts, and palaces operated by Taj Hotels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taj
Target entity description: Taj is a luxury hospitality brand known for its upscale hotels, resorts, and palaces operated by Taj Hotels.
  • A. Taj
    Taj was the former name of Esteghlal F.C., one of Iran’s most successful and popular football clubs.
  • B. Taj
    Taj is an American actor and musician best known as the son of Aerosmith frontman Steven Tyler.
  • C. Kamar-Taj
    Kamar-Taj is a hidden mystical sanctuary and training ground for sorcerers in the Marvel universe, where masters of the mystic arts teach magic and defend reality from supernatural threats.
  • D. 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.
  • E. 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.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167b947d48190a07da6f5255d289a completed April 29, 2026, 2:06 a.m.
NEDg Description generation batch_69f17006e6108190b51b20ddf6d2368c completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17819af5c8190a98db3cd8eff8da2 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.