Triple

T8304924
Position Surface form Disambiguated ID Type / Status
Subject Terry Rawlings E194439 entity
Predicate edited P1932 FINISHED
Object Legend E198720 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: Legend | Statement: [Terry Rawlings, edited, Legend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Legend
Context triple: [Terry Rawlings, edited, Legend]
  • A. Legend chosen
    Legend is a 1985 dark fantasy film directed by Ridley Scott, known for its lush visual style, fairy-tale atmosphere, and Tim Curry’s iconic portrayal of the Lord of Darkness.
  • B. Legend
    Legend was the original brand name of the Chinese technology company now known globally as Lenovo.
  • C. Legend
    Legend is a greatest hits compilation album by Bob Marley and the Wailers that has become one of the best-selling and most influential reggae records of all time.
  • D. Legend
    Legend is the official mascot character created for the 2015 World Aquatics Championships held in Kazan, Russia.
  • E. Legend
    Legend is the eighth studio album by American singer John Legend, showcasing his blend of R&B, soul, and pop influences.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8db3a8819083772db5c7a2454b completed March 31, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9545ffc48190869906b02692b873 completed April 1, 2026, 9:59 p.m.
Created at: March 30, 2026, 5:54 p.m.