Triple

T7442604
Position Surface form Disambiguated ID Type / Status
Subject Blue Chips E171790 entity
Predicate editedBy P1954 FINISHED
Object Trudy Ship E509646 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: Trudy Ship | Statement: [Blue Chips, editedBy, Trudy Ship]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trudy Ship
Context triple: [Blue Chips, editedBy, Trudy Ship]
  • A. Trudy Ship chosen
    Trudy Ship is a film editor best known for her work on the drama "Mr. Holland's Opus."
  • B. Arielle Ship
    Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
  • C. Ambrose Lightship
    Ambrose Lightship was a lightship stationed off New York Harbor that served as a critical floating lighthouse guiding ships safely through the Ambrose Channel.
  • D. M/V LeConte
    M/V LeConte is an Alaska Marine Highway System ferry that provides passenger and vehicle service to coastal communities in Southeast Alaska.
  • E. Sooner Schooner
    The Sooner Schooner is a covered wagon pulled by ponies that serves as the University of Oklahoma’s iconic game-day mascot, symbolizing the state’s pioneer and land run heritage.
  • 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_69c68a65402881908f7869368eb746fb completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36d0fbc81908cb7cfe99f80de08 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8344d4c408190a72f8f7718957f21 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:13 p.m.