Triple

T13373454
Position Surface form Disambiguated ID Type / Status
Subject If You Love Me E319123 entity
Predicate performer P1363 FINISHED
Object Brownstone E319118 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: Brownstone | Statement: [If You Love Me, performer, Brownstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brownstone
Context triple: [If You Love Me, performer, Brownstone]
  • A. Brownstone chosen
    Brownstone was a 1990s American R&B girl group best known for their soulful harmonies and the hit single "If You Love Me."
  • B. Brownstone Brooklyn
    Brownstone Brooklyn is a historic, largely residential area of Brooklyn known for its tree-lined streets, classic brownstone row houses, and affluent, family-oriented neighborhoods.
  • C. Blackstone Square
    Blackstone Square is a historic public park and green space located in Boston’s South End neighborhood.
  • D. Tishman
    Tishman is a prominent American real estate family name associated with major development and construction firms, particularly in New York City.
  • E. Park Avenue Plaza
    Park Avenue Plaza is a prominent modern office skyscraper in Midtown Manhattan known for its sleek glass design and upscale corporate tenants.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcda64a48190b53243a763cd175b completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306a4c688190bfbf5e695b2fd5e5 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:33 p.m.