Triple

T16380027
Position Surface form Disambiguated ID Type / Status
Subject Evan Moore E397777 entity
Predicate notableWork P4 FINISHED
Object DoorDash E79664 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: DoorDash | Statement: [Evan Moore, notableWork, DoorDash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DoorDash
Context triple: [Evan Moore, notableWork, DoorDash]
  • A. DoorDash chosen
    DoorDash is a leading American on-demand food delivery and logistics platform that connects customers with local restaurants and merchants through its mobile app and website.
  • B. Postmates
    Postmates is an on-demand delivery service platform that connects users with local couriers to deliver food, groceries, and other goods from nearby merchants.
  • C. Deliveroo
    Deliveroo is a British online food delivery company that partners with restaurants and couriers to deliver meals to customers via its app and website.
  • D. Grubhub
    Grubhub is a major U.S.-based online food ordering and delivery platform that connects diners with local restaurants through its website and mobile app.
  • E. Uber Eats
    Uber Eats is an online food delivery platform operated by Uber that connects users with local restaurants and couriers for on-demand meal delivery.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319db5b648190a8fca23518a1fb39 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457751208190b1e3dd6be3c0f363 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:08 a.m.