Triple

T5271469
Position Surface form Disambiguated ID Type / Status
Subject Like Crazy E119266 entity
Predicate producer P490 FINISHED
Object Andrea Sperling E119266 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: Andrea Sperling | Statement: [Like Crazy, producer, Andrea Sperling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea Sperling
Context triple: [Like Crazy, producer, Andrea Sperling]
  • A. Andrea Sperling chosen
    Andrea Sperling is an American film producer known for her work on independent and art-house films, including the acclaimed romantic drama "Like Crazy."
  • B. Sonia Ahimeir
    Sonia Ahimeir was the wife of Zionist activist and Revisionist ideologue Abba Ahimeir.
  • C. Katherine Martorell
    Katherine Martorell is a Chilean lawyer and politician known for her roles in public security and government, associated with the right-wing political sector.
  • D. Katherine Spiegel
    Katherine Spiegel was the wife of prominent American film director and producer Mervyn LeRoy.
  • E. Janet Akyüz Mattei
    Janet Akyüz Mattei was a Turkish-American astronomer best known for her long-time leadership of the American Association of Variable Star Observers and her influential work coordinating global observations of variable stars.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c1fa01081909d589686289b624b completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06cb5f788190b9ee79ca15da9d58 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:51 p.m.