Triple

T22866690
Position Surface form Disambiguated ID Type / Status
Subject Pierpont family E567073 entity
Predicate connectedTo P37 FINISHED
Object Wall Street NE NERFINISHED

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: [Pierpont family, connectedTo, Wall Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wall Street
Context triple: [Pierpont family, connectedTo, 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. Wall Street
    Wall Street is a 1987 American drama film directed by Oliver Stone that explores the high-stakes world of corporate finance and greed in New York City.
  • C. 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.
  • D. 14 Wall Street
    14 Wall Street is a historic skyscraper in New York City's Financial District, notable for its distinctive pyramid-shaped roof and its role as a prominent early 20th-century office building.
  • E. Liberty Market
    Liberty Market is a popular commercial and shopping area in Lahore, Pakistan, known for its wide range of clothing, jewelry, and food outlets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f0210b481908e0e6c4f95ba5a3b completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.