Triple

T17133970
Position Surface form Disambiguated ID Type / Status
Subject The Kiss E415788 entity
Predicate location P40 FINISHED
Object Times Square E471 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: Times Square | Statement: [The Kiss, location, Times Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Times Square
Context triple: [The Kiss, location, Times Square]
  • A. Times Square chosen
    Times Square is a major commercial and entertainment hub in Midtown Manhattan, famous for its bright billboards, Broadway theaters, and New Year’s Eve ball drop.
  • B. 4 Times Square
    4 Times Square is a prominent skyscraper in Midtown Manhattan known for its early adoption of green building technologies and its large illuminated signage in Times Square.
  • C. 11 Times Square
    11 Times Square is a prominent high-rise office tower in Manhattan’s Times Square district, known for its modern, sustainable design and prime commercial location.
  • D. One Times Square
    One Times Square is a famous skyscraper in New York City best known as the site of the annual New Year’s Eve ball drop in Times Square.
  • E. Times Square South
    Times Square South is a bustling commercial and entertainment district in Midtown Manhattan, New York City, known for its theaters, hotels, and proximity to the Broadway theater area.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02cbb7881908aa69c3443d149d5 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414eca3c8190aeec22fab3b5e767 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.