Triple

T141868
Position Surface form Disambiguated ID Type / Status
Subject Warren Delano Jr. E2870 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 Delano Jr., givenName, Warren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren
Context triple: [Warren Delano Jr., givenName, Warren]
  • A. Warren chosen
    Warren is the given name of Warren Buffett, the renowned American investor and longtime CEO of Berkshire Hathaway.
  • B. Marshall
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • C. Davis
    Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
  • D. Davis
    Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
  • E. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257c9cab8819095e8d9fa32c1fbc6 completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a362b7b55c8190b5d5ecf531a9d319 completed Feb. 28, 2026, 9:48 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.