Triple

T15498224
Position Surface form Disambiguated ID Type / Status
Subject Diana Rigg E378877 entity
Predicate honorificPrefix P536 FINISHED
Object Dame E322854 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: Dame | Statement: [Diana Rigg, honorificPrefix, Dame]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dame
Context triple: [Diana Rigg, honorificPrefix, Dame]
  • A. Dame
    Dame is the popular nickname of NBA All-Star point guard Damian Lillard, known for his clutch shooting and leadership.
  • B. Dame chosen
    Dame is a British honorific title bestowed primarily upon women in recognition of significant contributions to national life, often in the arts, public service, or other distinguished fields.
  • C. The Queen
    "The Queen" is one of the love poems by Chilean Nobel laureate Pablo Neruda, included in his influential 1924 collection *Twenty Love Poems and a Song of Despair*.
  • D. The Queen
    The Queen is the regal ant monarch and mother of Princess Atta in Pixar's animated film "A Bug's Life."
  • E. The Queen
    The Queen is the regal in-ring persona of WWE superstar Charlotte Flair, emphasizing her dominance and royal stature in professional wrestling.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3667a53c81908be789f99e580265 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:53 a.m.