Triple

T16095783
Position Surface form Disambiguated ID Type / Status
Subject Hard Eight E390478 entity
Predicate followsCharacter P10688 FINISHED
Object Jimmy
Jimmy is a character in the crime film "Hard Eight," involved in the story’s underworld gambling and con-artist schemes.
 E1193925 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: Jimmy | Statement: [Hard Eight, followsCharacter, Jimmy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jimmy
Context triple: [Hard Eight, followsCharacter, Jimmy]
  • A. Jimmy
    Jimmy is the given name of American actor Jimmy Smits, known for his roles in television series such as "L.A. Law," "NYPD Blue," and "The West Wing."
  • B. Jimmy
    Jimmy is a timid, imaginative, and often melodramatic young boy from the animated series "Ed, Edd n Eddy," known for his close friendship with Sarah and frequent misadventures.
  • C. Jimmy
    "Jimmy" is a romantic show tune from the Broadway musical Thoroughly Modern Millie, sung by the title character as she reflects on her conflicted feelings for the man she loves.
  • D. Jimmy
    Jimmy is a masculine given name, often a diminutive of James, commonly used in English-speaking countries.
  • E. Jimmy
    Jimmy is a supporting character in the 1980s crime drama series "The Equalizer," appearing in stories centered on vigilante justice and urban crime.
  • 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: Jimmy
Triple: [Hard Eight, followsCharacter, Jimmy]
Generated description
Jimmy is a character in the crime film "Hard Eight," involved in the story’s underworld gambling and con-artist schemes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jimmy
Target entity description: Jimmy is a character in the crime film "Hard Eight," involved in the story’s underworld gambling and con-artist schemes.
  • A. Jimmy
    Jimmy is a supporting character in the 1980s crime drama series "The Equalizer," appearing in stories centered on vigilante justice and urban crime.
  • B. Jimmy
    Jimmy is a supporting character in the dark comedy crime film "In Bruges," known for being a foul-mouthed American dwarf actor involved in the protagonists' misadventures.
  • C. Jimmy
    Jimmy is the given name of American actor Jimmy Smits, known for his roles in television series such as "L.A. Law," "NYPD Blue," and "The West Wing."
  • D. Jimmy
    Jimmy is a character in the Halloween horror film franchise, notably appearing as a sympathetic hospital orderly in Halloween II.
  • E. Jimmy
    Jimmy is a timid, imaginative, and often melodramatic young boy from the animated series "Ed, Edd n Eddy," known for his close friendship with Sarah and frequent misadventures.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1859283008190baac96142b5c7e53 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb991ba88190ad568a49069f9701 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec4898088190bed531e33418c7e5 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffecce96508190a53f100e3207ebac completed May 10, 2026, 2:26 a.m.
Created at: April 10, 2026, 4:59 a.m.