Triple

T3301304
Position Surface form Disambiguated ID Type / Status
Subject Southpaw E69336 entity
Predicate filmingLocation P40 FINISHED
Object Indiana, Pennsylvania E199253 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: Indiana, Pennsylvania | Statement: [Southpaw, filmingLocation, Indiana, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indiana, Pennsylvania
Context triple: [Southpaw, filmingLocation, Indiana, Pennsylvania]
  • A. Indiana, Pennsylvania, United States chosen
    Indiana, Pennsylvania, United States, is a small borough in western Pennsylvania best known as the hometown of actor James Stewart and for its historic downtown and university presence.
  • B. Indiana
    Indiana is a U.S. state known for its manufacturing base, rich agricultural land, and iconic events like the Indianapolis 500.
  • C. Indiana and Kentucky
    Indiana and Kentucky are neighboring U.S. states in the Midwest and Upper South, respectively, separated in large part by the Ohio River.
  • D. Pennsylvania
    Pennsylvania is a historically significant U.S. state in the Mid-Atlantic and Northeastern regions, known for cities like Philadelphia and Pittsburgh and its central role in the nation’s founding.
  • E. Pensilvania
    Pensilvania is a municipality and town located in the Caldas Department of Colombia, known for its coffee-growing economy and mountainous Andean landscape.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a7d224819080d9a638e08bb8a8 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a6fcb9c819084b0c2a1c8af9c49 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:11 p.m.