Triple

T13987348
Position Surface form Disambiguated ID Type / Status
Subject Howie Hawkins E336473 entity
Predicate employer P7 FINISHED
Object United Parcel Service E14654 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: United Parcel Service | Statement: [Howie Hawkins, employer, United Parcel Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Parcel Service
Context triple: [Howie Hawkins, employer, United Parcel Service]
  • A. United Parcel Service (UPS) chosen
    United Parcel Service (UPS) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
  • B. FedEx
    FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
  • C. TNT Express
    TNT Express is an international courier and logistics company known for its global parcel delivery and express mail services.
  • D. Courier Corporation
    Courier Corporation is an American publishing company best known for owning Dover Publications and specializing in reprints and specialty print products.
  • E. YRC Worldwide
    YRC Worldwide is a large American less-than-truckload (LTL) freight transportation and logistics company headquartered in Overland Park, Kansas.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea537408190bb9d35963886803f completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9604cc819088cde0ad8271ad48 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:18 p.m.