Triple

T11236862
Position Surface form Disambiguated ID Type / Status
Subject The Take E265961 entity
Predicate basedOn P98 FINISHED
Object The Take (novel) E265961 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 Take (novel) | Statement: [The Take, basedOn, The Take (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Take (novel)
Context triple: [The Take, basedOn, The Take (novel)]
  • A. The Take chosen
    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.
  • B. 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.
  • C. The Taking
    The Taking is a horror novel by Dean Koontz that follows a couple facing an apocalyptic, seemingly alien invasion that blurs the line between supernatural and science fiction terror.
  • D. Took
    Took is the hobbit family name of Peregrin “Pippin” Took, one of the central characters in J.R.R. Tolkien’s The Lord of the Rings.
  • E. The Takedown
    The Takedown is a French action-comedy film starring Omar Sy as a cop embroiled in a high-stakes investigation that blends explosive set pieces with humor.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6308f8819085652d6c529ac821 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.