Triple

T16887567
Position Surface form Disambiguated ID Type / Status
Subject Ashleigh Aston Moore E421577 entity
Predicate stageName P7872 FINISHED
Object Ashleigh Aston Moore E421577 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: Ashleigh Aston Moore | Statement: [Ashleigh Aston Moore, stageName, Ashleigh Aston Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashleigh Aston Moore
Context triple: [Ashleigh Aston Moore, stageName, Ashleigh Aston Moore]
  • A. Ashleigh Aston Moore chosen
    Ashleigh Aston Moore was a Canadian child actress best known for her role as the young Chrissy in the 1995 coming-of-age film "Now and Then."
  • B. Ashlee Thompson
    Ashlee Thompson is an actress known for her role in the critically acclaimed independent drama film "Winter’s Bone."
  • C. Amanda Leigh Moore
    Amanda Leigh Moore is an American singer and actress best known by her stage name Mandy Moore, recognized for her pop music career and roles in films and the TV series "This Is Us."
  • D. Ashley Abbott
    Ashley Abbott is a fictional character from the soap opera "The Young and the Restless," known as a prominent member of the Abbott family and a powerful cosmetics executive.
  • E. Ashleigh Powell
    Ashleigh Powell is a screenwriter best known for writing the fantasy film "The Nutcracker and the Four Realms."
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc1f42481909dcf595358c23497 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a018c3489848190869bebedcb5c0564 completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:29 a.m.