Triple

T10753653
Position Surface form Disambiguated ID Type / Status
Subject Clift E253633 entity
Predicate hasVariant P455 FINISHED
Object Clift(e) E253633 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: Clift(e) | Statement: [Clift, hasVariant, Clift(e)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clift(e)
Context triple: [Clift, hasVariant, Clift(e)]
  • A. Clift chosen
    Clift is a surname most famously associated with American actor Montgomery Clift, a prominent figure of mid-20th-century cinema known for his intense, emotionally nuanced performances.
  • B. Clinten
    Clinten is a given name that serves as an alternative spelling of the more common name Clinton.
  • C. Klain
    Klain is the surname of Ron Klain, an American attorney and political operative who served as White House Chief of Staff under President Joe Biden.
  • D. Cline
    Cline is a variant form of the surname Klein, commonly found in German-speaking and related communities.
  • E. Donlevy
    Donlevy is a surname most notably associated with American actor Brian Donlevy, known for his roles in mid-20th-century Hollywood films.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc2543c8190bb060aa7a1fed6a6 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2338b2cc8190ad40ff9a421a4152 completed April 14, 2026, 11:21 a.m.
Created at: April 8, 2026, 9:15 p.m.