Triple

T3194164
Position Surface form Disambiguated ID Type / Status
Subject Will Packer E66895 entity
Predicate notableWork P4 FINISHED
Object Takers E328345 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: Takers | Statement: [Will Packer, notableWork, Takers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takers
Context triple: [Will Packer, notableWork, Takers]
  • A. Takers chosen
    Takers is a 2010 American heist thriller film featuring an ensemble cast including Idris Elba, Paul Walker, and T.I., centered on a group of professional bank robbers planning a high-stakes armored car robbery.
  • B. The Take
    The Take is a British crime drama television series adapted from Martina Cole's novel, featuring Tom Hardy in a prominent role as a volatile gangster.
  • C. The Take
    The Take is a 2004 documentary film that follows Argentine workers as they reclaim and run a bankrupt factory as a cooperative, co-created by writer and activist Naomi Klein.
  • D. Ravage
    Ravage is a Decepticon spy and attack beast in the Transformers franchise, typically depicted as a stealthy, feline-like robot that specializes in infiltration and reconnaissance.
  • E. Into the Badlands
    Into the Badlands is a post-apocalyptic martial arts television series known for its stylized fight choreography and feudal, dystopian setting.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada714dbcc8190a7ad21b3c957f151 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bae63688190b2a1a1dba8b2cffa completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.