Triple

T7541848
Position Surface form Disambiguated ID Type / Status
Subject Niles Crane E178296 entity
Predicate spouse P13 FINISHED
Object Daphne Moon E175665 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: Daphne Moon | Statement: [Niles Crane, spouse, Daphne Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daphne Moon
Context triple: [Niles Crane, spouse, Daphne Moon]
  • A. Daphne Moon chosen
    Daphne Moon is a quirky, psychic-leaning live-in physical therapist and housekeeper who becomes a central member of the Crane household on the television sitcom "Frasier."
  • B. Joan Blackman
    Joan Blackman is an American actress best known for her leading roles opposite Elvis Presley in early 1960s films.
  • C. Dani Dennison
    Dani Dennison is a brave and spirited young girl in the film "Hocus Pocus" who helps her brother battle resurrected witches on Halloween night.
  • D. Sally Blane
    Sally Blane was an American film actress of the early 20th century who appeared in numerous silent and sound films, often in supporting roles.
  • E. Valerie Gaunt
    Valerie Gaunt was a British actress best known for her roles in classic Hammer horror films of the 1950s.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8750f80819088ddfb7a5580b5df completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f18e4dc81909ecd73b2b06b8d9c completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:48 p.m.