Triple

T16019095
Position Surface form Disambiguated ID Type / Status
Subject Barbara Wright E388551 entity
Predicate travelsWith P881 FINISHED
Object Susan Foreman E417442 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: Susan Foreman | Statement: [Barbara Wright, travelsWith, Susan Foreman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Foreman
Context triple: [Barbara Wright, travelsWith, Susan Foreman]
  • A. Susan Foreman chosen
    Susan Foreman is the Doctor’s granddaughter and one of the original companions in the long-running British science fiction series Doctor Who.
  • B. June Morris
    June Morris is an American businesswoman and aviation pioneer best known for co-founding and leading the low-cost airline Morris Air, which helped transform the U.S. airline industry.
  • C. Mary Chilton
    Mary Chilton was a Mayflower passenger traditionally believed to be the first European woman to step ashore at Plymouth, later settling in Boston.
  • D. Joyce Grange
    Joyce Grange is a local community center in Joyce, Washington that serves as a gathering place for social, recreational, and civic activities.
  • E. Sylvia Sissons
    Sylvia Sissons is best known as the wife of the late British television newsreader and journalist Peter Sissons.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18296a7008190b72ab2ab02d0fbc9 completed April 17, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbcdf2548190999a6d093c7fb64a completed May 10, 2026, 1:13 a.m.
Created at: April 10, 2026, 4:55 a.m.