Triple

T2658051
Position Surface form Disambiguated ID Type / Status
Subject The Wolf of Wall Street E54661 entity
Predicate setting P1957 FINISHED
Object Wall Street E2854 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: Wall Street | Statement: [The Wolf of Wall Street, setting, Wall Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wall Street
Context triple: [The Wolf of Wall Street, setting, Wall Street]
  • A. Wall Street chosen
    Wall Street is the historic financial district in Lower Manhattan that serves as a global center for banking, trading, and economic power.
  • B. 40 Wall Street
    40 Wall Street is a historic neo-Gothic skyscraper in New York City's Financial District, once one of the tallest buildings in the world and later owned and branded by the Trump Organization.
  • C. World Financial Center
    The World Financial Center is a prominent commercial complex in New York City known for its office towers, retail spaces, and views overlooking the Hudson River.
  • D. Battery Place
    Battery Place is a street in Lower Manhattan, New York City, running along the northern edge of Battery Park near the southern tip of the island.
  • E. New York Stock Exchange Building
    The New York Stock Exchange Building is a historic neoclassical landmark in New York City that houses the world’s largest stock exchange by market capitalization.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94c61a08190bdf5e1caeff3e788 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d535388190979a549dc2ce5f2f completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.