Triple

T8962890
Position Surface form Disambiguated ID Type / Status
Subject Simon Kinberg E214050 entity
Predicate directed P7373 FINISHED
Object The 355 E770060 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: The 355 | Statement: [Simon Kinberg, directed, The 355]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The 355
Context triple: [Simon Kinberg, directed, The 355]
  • A. The 355 chosen
    The 355 is a 2022 female-led espionage action thriller film about an international team of spies who unite to stop a global threat.
  • B. The 305
    The 305 is a nickname commonly used to refer to Miami, Florida, derived from its original area code.
  • C. The 33
    The 33 is a 2015 drama film that recounts the true story of the 2010 Chilean mining disaster and the rescue of 33 trapped miners.
  • D. The Unit
    The Unit is an American television drama series that follows a covert U.S. Army special operations team and their families as they navigate dangerous missions and personal challenges.
  • E. Mr. 305
    Mr. 305 is the nickname of Pitbull, the Miami-born rapper and pop artist known for his party anthems and international hits.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6749e5008190a01f42a2e772dd54 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0a31bd88190b8bf836ea44c99f5 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:01 p.m.