Triple

T16994478
Position Surface form Disambiguated ID Type / Status
Subject Ueli Steiger E412277 entity
Predicate workedOn P3 FINISHED
Object The Hot Spot E664937 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: The Hot Spot | Statement: [Ueli Steiger, workedOn, The Hot Spot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hot Spot
Context triple: [Ueli Steiger, workedOn, The Hot Spot]
  • A. The Hot Spot chosen
    The Hot Spot is a 1990 neo-noir thriller film directed by Dennis Hopper and starring Don Johnson, Virginia Madsen, and Jennifer Connelly, known for its sultry atmosphere and crime-driven plot in a small Texas town.
  • B. Hot Spot
    "Hot Spot" is a prominent installation by artist Mona Hatoum featuring a glowing, neon-outlined globe that evokes themes of global conflict, instability, and surveillance.
  • C. Hot Spot
    "Hot Spot" is a song by the Boston rock band The Taxi Boys.
  • D. Hot Spot
    Hot Spot is a fast-paced keno-style draw game offered by the California State Lottery where players pick numbers for frequent drawings with varying prize levels.
  • E. That Heat
    "That Heat" is a Latin-infused hip hop track by Common featuring will.i.am and Sérgio Mendes, known for its smooth groove and blend of rap with Brazilian rhythms.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d285f35881908c32b2f27ba7f0ac completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc16fbdc819095411a056b9942c3 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.