Triple

T15780625
Position Surface form Disambiguated ID Type / Status
Subject Dinesh Chugtai E382603 entity
Predicate residence P75 FINISHED
Object Hacker Hostel E1132207 NE FINISHED

How this triple was built (2 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: Hacker Hostel | Statement: [Dinesh Chugtai, residence, Hacker Hostel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hacker Hostel
Context triple: [Dinesh Chugtai, residence, Hacker Hostel]
  • A. Hacker Hostel chosen
    Hacker Hostel is the shared startup house in the TV series "Silicon Valley" where the main characters live and build their tech company.
  • B. Lee Valley Youth Hostel
    Lee Valley Youth Hostel is a budget-friendly accommodation within the Lee Valley Regional Park that provides lodging and facilities for visitors exploring the park and surrounding area.
  • C. Hospitality House
    Hospitality House is the central guest services and check-in complex at Disney’s Old Key West Resort, featuring the main lobby, dining, and recreational amenities.
  • D. The Blackboard Cafe
    The Blackboard Cafe was a legendary Bakersfield, California honky-tonk that became a central hub for the development of the Bakersfield sound in country music.
  • E. Red Room Academy
    Red Room Academy is a covert Soviet-era training facility in the Marvel universe where young girls, including Natasha Romanoff, are conditioned and trained to become elite assassins known as Black Widows.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e053fea90081908e3fe4f91475bead completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909f7f4481909cceb32e26af3780 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.