Triple

T18093455
Position Surface form Disambiguated ID Type / Status
Subject Down by Law E433026 entity
Predicate productionCompany P490 FINISHED
Object Black Snake
Black Snake is a film production company associated with the creation of the independent movie "Down by Law."
 E1305404 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: Black Snake | Statement: [Down by Law, productionCompany, Black Snake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Black Snake
Context triple: [Down by Law, productionCompany, Black Snake]
  • A. Old Snake
    Old Snake is the aged, battle-worn incarnation of legendary soldier Solid Snake, serving as the protagonist in the stealth-action game Metal Gear Solid 4: Guns of the Patriots.
  • B. Serpent
    Serpent is a symmetric block cipher designed as a highly secure, conservative candidate for the Advanced Encryption Standard (AES) competition.
  • C. The Snakes
    The Snakes is a subgroup affiliated with the Brooklyn hip-hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
  • D. The Snake
    "The Snake" is the original published title of Emily Dickinson's famous poem about a mysterious, unsettling encounter with a snake in the grass.
  • E. The Snake
    The Snake is a crime novel featuring hard-boiled private detective Mike Hammer, created by American author Mickey Spillane.
  • 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: Black Snake
Triple: [Down by Law, productionCompany, Black Snake]
Generated description
Black Snake is a film production company associated with the creation of the independent movie "Down by Law."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Black Snake
Target entity description: Black Snake is a film production company associated with the creation of the independent movie "Down by Law."
  • A. Old Snake
    Old Snake is the aged, battle-worn incarnation of legendary soldier Solid Snake, serving as the protagonist in the stealth-action game Metal Gear Solid 4: Guns of the Patriots.
  • B. Serpent
    Serpent is a symmetric block cipher designed as a highly secure, conservative candidate for the Advanced Encryption Standard (AES) competition.
  • C. The Snakes
    The Snakes is a subgroup affiliated with the Brooklyn hip-hop collective Junior M.A.F.I.A., associated with the mid-1990s East Coast rap scene.
  • D. The Snake
    "The Snake" is the original published title of Emily Dickinson's famous poem about a mysterious, unsettling encounter with a snake in the grass.
  • E. The Snake
    The Snake is a crime novel featuring hard-boiled private detective Mike Hammer, created by American author Mickey Spillane.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1a75048190924ebc01da83851b completed April 19, 2026, 1:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d9d9cd48190a1f12122701e333e completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a036a6df6348190893f97731da817f1 completed May 12, 2026, 5:59 p.m.
NED2 Entity disambiguation (via description) batch_6a036b44c6008190a3b612b9e7d292f0 completed May 12, 2026, 6:02 p.m.
Created at: April 10, 2026, 10:27 a.m.