Triple

T7646154
Position Surface form Disambiguated ID Type / Status
Subject Rob Beschizza E173126 entity
Predicate spouse P13 FINISHED
Object Carla Sinclair E226972 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: Carla Sinclair | Statement: [Rob Beschizza, spouse, Carla Sinclair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carla Sinclair
Context triple: [Rob Beschizza, spouse, Carla Sinclair]
  • A. Carla Sinclair chosen
    Carla Sinclair is an American writer and editor best known as a co-founder of the influential technology and culture blog Boing Boing.
  • B. Carla Mann
    Carla Mann was a German actress and the sister of Nobel Prize–winning author Thomas Mann.
  • C. Carla Purty
    Carla Purty is a character in the comedy film "The Nutty Professor," portrayed as a kind-hearted chemistry graduate student and the love interest of Professor Sherman Klump.
  • D. Jill Sinclair
    Jill Sinclair was a British businesswoman and influential music industry executive who co-founded the ZTT record label and the Sarm Studios complex.
  • E. Carla Natalie Barnett
    Carla Natalie Barnett is a Belizean economist and politician who became the first woman to serve as Secretary-General of the Caribbean Community (CARICOM).
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf3bd388190a8cb0f13322a7c00 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ad236448190886611ac9d1cc393 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:58 p.m.