Triple

T14568169
Position Surface form Disambiguated ID Type / Status
Subject The Lakes E341839 entity
Predicate starring P1507 FINISHED
Object Michael Angelis E856697 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: Michael Angelis | Statement: [The Lakes, starring, Michael Angelis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Angelis
Context triple: [The Lakes, starring, Michael Angelis]
  • A. Michael Angelis chosen
    Michael Angelis was a British actor best known for his work in television drama and as the long-time UK narrator of the children's series Thomas & Friends.
  • B. Michaelangelo Moran
    Michaelangelo Moran is an Indonesian entrepreneur and designer best known as a co-founder of the ride-hailing and super-app company Gojek.
  • C. Michael Salvatori
    Michael Salvatori is an American composer best known for co-creating the iconic music of the Halo video game series alongside Martin O'Donnell.
  • D. Marlowe Caruso
    Marlowe Caruso is the daughter of American actor David Caruso, known for his role on the television series "CSI: Miami."
  • E. Michael Monaco
    Michael Monaco is a music video director known for his work on high-profile country music videos, including projects for artists like Luke Bryan.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91437e08190a41683f1777a8507 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:23 a.m.