Triple

T20155431
Position Surface form Disambiguated ID Type / Status
Subject Bill Hunter E491550 entity
Predicate notableWork P4 FINISHED
Object Crackerjack
Crackerjack is a 1994 Australian crime-comedy film in which Bill Hunter plays a key supporting role.
 E1414805 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: Crackerjack | Statement: [Bill Hunter, notableWork, Crackerjack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crackerjack
Context triple: [Bill Hunter, notableWork, Crackerjack]
  • A. Crackerjack
    Crackerjack was a long-running British children's television variety show, best remembered for its mix of comedy sketches, games, and live audience participation.
  • B. Cracker Jack
    Cracker Jack is a classic American caramel-coated popcorn and peanut snack best known for its inclusion in baseball culture and its signature prize inside each package.
  • C. Candy-O
    Candy-O is the second studio album by American rock band The Cars, known for its sleek new wave sound and iconic Vargas cover art.
  • D. Penny Candy
    "Penny Candy" is a memoir by Linda Gray Sexton that reflects on her life, family, and the legacy of her mother, poet Anne Sexton.
  • E. Candy
    Candy is one of the reckless, party-obsessed college girls at the center of the crime drama film "Spring Breakers," portrayed by Vanessa Hudgens.
  • 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: Crackerjack
Triple: [Bill Hunter, notableWork, Crackerjack]
Generated description
Crackerjack is a 1994 Australian crime-comedy film in which Bill Hunter plays a key supporting role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crackerjack
Target entity description: Crackerjack is a 1994 Australian crime-comedy film in which Bill Hunter plays a key supporting role.
  • A. Crackerjack
    Crackerjack was a long-running British children's television variety show, best remembered for its mix of comedy sketches, games, and live audience participation.
  • B. Cracker Jack
    Cracker Jack is a classic American caramel-coated popcorn and peanut snack best known for its inclusion in baseball culture and its signature prize inside each package.
  • C. Candy-O
    Candy-O is the second studio album by American rock band The Cars, known for its sleek new wave sound and iconic Vargas cover art.
  • D. Penny Candy
    "Penny Candy" is a memoir by Linda Gray Sexton that reflects on her life, family, and the legacy of her mother, poet Anne Sexton.
  • E. Candy
    Candy is one of the reckless, party-obsessed college girls at the center of the crime drama film "Spring Breakers," portrayed by Vanessa Hudgens.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667df7ac081908816d2d29e7c6513 completed April 20, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083476e2d08190807674e3f61382bc completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a08351511888190a144ff037abdddfb completed May 16, 2026, 9:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0835e4248c8190817907ca46cd5cff completed May 16, 2026, 9:16 a.m.
Created at: April 11, 2026, 11:34 p.m.