Triple

T7905179
Position Surface form Disambiguated ID Type / Status
Subject Chuck Noland E183557 entity
Predicate associatedCompanyInStory P51457 FINISHED
Object FedEx E4793 NE FINISHED

How this triple was built (3 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: [Chuck Noland, associatedCompanyInStory, FedEx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FedEx
Context triple: [Chuck Noland, associatedCompanyInStory, FedEx]
  • A. FedEx chosen
    FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
  • B. United Parcel Service (UPS)
    United Parcel Service (UPS) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
  • C. TNT Express
    TNT Express is an international courier and logistics company known for its global parcel delivery and express mail services.
  • D. DHL
    DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
  • E. DHL
    DHL is a global logistics and courier company known for its international express mail, freight transportation, and supply chain management services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedCompanyInStory
Context triple: [Chuck Noland, associatedCompanyInStory, FedEx]
  • A. associatedCompanyFate
    Indicates that there is a relationship between an entity and the outcome or final status (e.g., closure, acquisition, bankruptcy) of a company with which it is or was associated.
  • B. associatedCompanyMainProductLine
    Indicates that a company’s primary or main line of products is linked or related to a specified product category or product line.
  • C. associatedCompanyFormerlyIndependent
    Indicates that the associated company was once an independent entity before becoming linked to or integrated with another organization.
  • D. organizationAssociatedWith
    Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
  • E. hasAssociatedCompany chosen
    Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
  • F. None of above.

Provenance (4 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a56c9f0819094dc87fe55a8823e completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5634f3c48190a801945317e4883d completed March 31, 2026, 11:18 p.m.
PD Predicate disambiguation batch_69cae92f9498819085277879e59aa072 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:03 p.m.