Triple

T3694579
Position Surface form Disambiguated ID Type / Status
Subject Russell Carpenter E78425 entity
Predicate workedOn P3 FINISHED
Object Hard Target
Hard Target is a 1993 American action film directed by John Woo and starring Jean-Claude Van Damme, known for its stylized violence and Woo’s Hollywood debut.
 E379697 NE FINISHED

How this triple was built (4 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: Hard Target | Statement: [Russell Carpenter, workedOn, Hard Target]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hard Target
Context triple: [Russell Carpenter, workedOn, Hard Target]
  • A. Red Heat
    Red Heat is a 1988 buddy-cop action film starring Arnold Schwarzenegger and James Belushi, directed by Walter Hill.
  • B. Point Blank
    Point Blank is a segment or component of the larger work titled "The River," likely representing a distinct chapter, track, or section within that overall composition.
  • C. Point Blank
    Point Blank is a 1967 neo-noir crime film starring Lee Marvin, noted for its stylish direction and influential, hard-edged portrayal of revenge.
  • D. Crime Pays
    Crime Pays is a 2009 studio album by Harlem rapper Cam'ron, known for its gritty street narratives and return-to-form sound.
  • E. The Gangster
    The Gangster is a 1947 American film noir crime drama noted for its stylized cinematography and bleak portrayal of a small-time racketeer’s downfall.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hard Target
Triple: [Russell Carpenter, workedOn, Hard Target]
Generated description
Hard Target is a 1993 American action film directed by John Woo and starring Jean-Claude Van Damme, known for its stylized violence and Woo’s Hollywood debut.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hard Target
Target entity description: Hard Target is a 1993 American action film directed by John Woo and starring Jean-Claude Van Damme, known for its stylized violence and Woo’s Hollywood debut.
  • A. Red Heat
    Red Heat is a 1988 buddy-cop action film starring Arnold Schwarzenegger and James Belushi, directed by Walter Hill.
  • B. Point Blank
    Point Blank is a segment or component of the larger work titled "The River," likely representing a distinct chapter, track, or section within that overall composition.
  • C. Point Blank
    Point Blank is a 1967 neo-noir crime film starring Lee Marvin, noted for its stylish direction and influential, hard-edged portrayal of revenge.
  • D. Crime Pays
    Crime Pays is a 2009 studio album by Harlem rapper Cam'ron, known for its gritty street narratives and return-to-form sound.
  • E. The Gangster
    The Gangster is a 1947 American film noir crime drama noted for its stylized cinematography and bleak portrayal of a small-time racketeer’s downfall.
  • F. None of above. chosen

Provenance (5 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4eafd348190986f69aee787fd8f completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3d0f2d88190b31e8c336f1a1bf3 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c5280d788190b59b23acf5f77811 completed March 14, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69b4c58b13c48190b975e61000aa1f05 completed March 14, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:26 p.m.