Triple

T15909344
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Bennett E385804 entity
Predicate appearedIn P795 FINISHED
Object Cake Wars
Cake Wars is a competitive reality TV baking series in which skilled cake artists face themed challenges to create elaborate, sculpted cakes.
 E1183730 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: Cake Wars | Statement: [Jonathan Bennett, appearedIn, Cake Wars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cake Wars
Context triple: [Jonathan Bennett, appearedIn, Cake Wars]
  • A. Beecake
    Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
  • B. Gamebread
    Gamebread is a record label associated with the release of 2 Chainz’s music, including his album "Pretty Girls Like Trap Music."
  • C. Cake
    "Cake" is a 2014 drama film in which Jennifer Aniston stars as a woman struggling with chronic pain and grief, featuring Mamie Gummer in a supporting role.
  • D. Cake
    Cake is an American alternative rock band known for its deadpan vocals, eclectic instrumentation, and ironic, genre-blending covers of well-known songs.
  • E. Cake & Eat It Too
    Cake & Eat It Too is a track from the hip-hop album "Airtight's Revenge" by American rapper and producer Bilal.
  • 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: Cake Wars
Triple: [Jonathan Bennett, appearedIn, Cake Wars]
Generated description
Cake Wars is a competitive reality TV baking series in which skilled cake artists face themed challenges to create elaborate, sculpted cakes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cake Wars
Target entity description: Cake Wars is a competitive reality TV baking series in which skilled cake artists face themed challenges to create elaborate, sculpted cakes.
  • A. Beecake
    Beecake is a Scottish alternative rock band fronted by actor and musician Billy Boyd.
  • B. Gamebread
    Gamebread is a record label associated with the release of 2 Chainz’s music, including his album "Pretty Girls Like Trap Music."
  • C. Cake
    "Cake" is a 2014 drama film in which Jennifer Aniston stars as a woman struggling with chronic pain and grief, featuring Mamie Gummer in a supporting role.
  • D. Cake
    Cake is an American alternative rock band known for its deadpan vocals, eclectic instrumentation, and ironic, genre-blending covers of well-known songs.
  • E. Cake & Eat It Too
    Cake & Eat It Too is a track from the hip-hop album "Airtight's Revenge" by American rapper and producer Bilal.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565d2f048190a40379ceae00411a completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05750ac81908860143f4ca26cc7 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb110a5b88190904f763057e8eb1e completed May 9, 2026, 10:11 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1a5e9b88190b790c81b9500c2ac completed May 9, 2026, 10:13 p.m.
Created at: April 10, 2026, 4:52 a.m.