Triple

T22513524
Position Surface form Disambiguated ID Type / Status
Subject Mary Robinson E556581 entity
Predicate hasFamilyName P18 FINISHED
Object Robinson NE NERFINISHED

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: Robinson | Statement: [Mary Robinson, hasFamilyName, Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robinson
Context triple: [Mary Robinson, hasFamilyName, Robinson]
  • A. Robinson chosen
    Robinson is a common English surname borne by numerous notable figures across politics, sports, arts, and other fields.
  • B. Robinson
    Robinson is a prominent fell in England's Lake District, popular with hikers for its sweeping views over the surrounding North Western Fells.
  • C. Crusoe Kurddal
    Crusoe Kurddal is an Indigenous Australian actor best known for his role in the acclaimed film "Ten Canoes."
  • D. Lewis D. Crusoe
    Lewis D. Crusoe was an influential American automotive executive and stylist who played a key role in shaping Ford’s postwar car designs, including the iconic Thunderbird.
  • E. Robinson: The Journey
    Robinson: The Journey is a first-person virtual reality adventure game that follows a young boy stranded on a mysterious, dinosaur-inhabited planet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d62bea48190aaf34aa93bb3f67b completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.