Triple

T93599
Position Surface form Disambiguated ID Type / Status
Subject Shirley Ann Jackson E1880 entity
Predicate boardMemberOf P10 FINISHED
Object FedEx E4793 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: FedEx | Statement: [Shirley Ann Jackson, boardMemberOf, FedEx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FedEx
Context triple: [Shirley Ann Jackson, boardMemberOf, FedEx]
  • A. FedEx chosen
    FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
  • B. FedExField
    FedExField is a large outdoor football stadium in Landover, Maryland, best known as the longtime home venue of Washington’s NFL franchise.
  • C. United States Postal Service
    The United States Postal Service is an independent agency of the U.S. federal government responsible for providing nationwide postal delivery and related mail services.
  • D. Delta Air Lines
    Delta Air Lines is a major U.S.-based global airline headquartered in Atlanta, known for its extensive domestic and international route network and membership in the SkyTeam alliance.
  • E. United Airlines
    United Airlines is a major American airline and Star Alliance member known for its extensive domestic and international route network operated from multiple hubs across the United 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd28e988190bde699647ee5b16b completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a266ebb994819085fb84dd1d2d25ad completed Feb. 28, 2026, 3:54 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.