Triple

T20996087
Position Surface form Disambiguated ID Type / Status
Subject Robert Prosky E517152 entity
Predicate notableWork P4 FINISHED
Object Thief NE NERFINISHED

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: Thief | Statement: [Robert Prosky, notableWork, Thief]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thief
Context triple: [Robert Prosky, notableWork, Thief]
  • A. Thief chosen
    Thief is a 1981 neo-noir crime film written and directed by Michael Mann, following a professional safecracker trying to escape his criminal life.
  • B. Thief series
    The Thief series is a pioneering stealth video game franchise, begun in the late 1990s, known for its first-person sneaking, immersive sim design, and atmospheric, steampunk-inspired world.
  • C. Thief on the Right
    Thief on the Right is the traditional name for Saint Dismas, the repentant criminal crucified alongside Jesus who is venerated as the “Good Thief” in Christian tradition.
  • D. Thief (2014 video game)
    Thief (2014 video game) is a stealth-focused action-adventure reboot of the classic Thief franchise, featuring master thief Garrett navigating a dark, Victorian-inspired city to pull off high-risk heists.
  • E. Thief In a Sleeping Town
    "Thief In a Sleeping Town" is an EP by the band Common Rider, showcasing their melodic punk and ska-influenced sound.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1fd5d48190a56981cee95ebd69 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.