Triple

T1099375
Position Surface form Disambiguated ID Type / Status
Subject Warren Beatty E24343 entity
Predicate givenName P17 FINISHED
Object Warren E29689 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: Warren | Statement: [Warren Beatty, givenName, Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren
Context triple: [Warren Beatty, givenName, Warren]
  • A. Warren chosen
    Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
  • B. Warren
    Warren is a common English surname borne by numerous notable figures in politics, law, entertainment, and other fields.
  • C. Warren
    Warren is a large suburban city in southeast Michigan known for its extensive automotive and defense manufacturing industries.
  • D. Marshall
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • E. Randolph
    Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9be92688190838ce35cd67e01f3 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8309594c8190986b048b8982f153 completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:43 p.m.