Triple

T4517326
Position Surface form Disambiguated ID Type / Status
Subject Mr. Big E103182 entity
Predicate nationality P2 FINISHED
Object American E22033 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: American | Statement: [Mr. Big, nationality, American]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American
Context triple: [Mr. Big, nationality, American]
  • A. American chosen
    American refers to a person from or associated with the United States of America, typically holding its citizenship and sharing in its national culture and identity.
  • B. AMERICAN
    AMERICAN is the radio callsign used by pilots and air traffic control to identify flights operated by American Airlines.
  • C. European American
    European Americans are U.S. residents whose ancestry traces primarily to the various peoples and nations of Europe.
  • D. All American
    All American is a 2018–present American sports drama television series inspired by the life of former NFL player Spencer Paysinger, focusing on a high school football star navigating class, family, and identity.
  • E. All American
    "All American" is the nickname and motto of the U.S. Army's 82nd Airborne Division, reflecting its origins as a unit composed of soldiers from all 48 states.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd572933408190b67c4ef6a7babe75 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f93a6808190bc1290232998184c completed March 20, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:02 p.m.