Triple

T21162607
Position Surface form Disambiguated ID Type / Status
Subject Gestalt E521477 entity
Predicate hasExample P1259 FINISHED
Object Road Caesar
Road Caesar is a combined super-robot formed from multiple smaller Transformers, known for exemplifying the Gestalt combiner concept in the Transformers franchise.
E1469768 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: Road Caesar | Statement: [Gestalt, hasExample, Road Caesar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Road Caesar
Context triple: [Gestalt, hasExample, Road Caesar]
  • A. Rubicon
    Rubicon is an off-road-focused trim level in Jeep’s lineup, known for its enhanced four-wheel-drive hardware and rugged trail capability.
  • B. Rubicon
    Rubicon is an American conspiracy thriller television series that follows an intelligence analyst who uncovers a complex web of secretive organizations and hidden agendas.
  • C. Rubicon
    Rubicon is a popular British soft drink brand known for its exotic fruit-flavoured beverages such as mango and guava.
  • D. Rubicon
    Rubicon is a major expansion for the sci-fi MMORPG EVE Online that introduced new features focused on player-driven warfare, infrastructure, and long-term strategic planning.
  • E. Rubicon
    Rubicon is a peer-reviewed open-access journal published by Frontiers that focuses on interdisciplinary research and scholarly communication.
  • 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: Road Caesar
Triple: [Gestalt, hasExample, Road Caesar]
Generated description
Road Caesar is a combined super-robot formed from multiple smaller Transformers, known for exemplifying the Gestalt combiner concept in the Transformers franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Road Caesar
Target entity description: Road Caesar is a combined super-robot formed from multiple smaller Transformers, known for exemplifying the Gestalt combiner concept in the Transformers franchise.
  • A. Rubicon
    Rubicon is an off-road-focused trim level in Jeep’s lineup, known for its enhanced four-wheel-drive hardware and rugged trail capability.
  • B. Rubicon
    Rubicon is an American conspiracy thriller television series that follows an intelligence analyst who uncovers a complex web of secretive organizations and hidden agendas.
  • C. Rubicon
    Rubicon is a popular British soft drink brand known for its exotic fruit-flavoured beverages such as mango and guava.
  • D. Rubicon
    Rubicon is a major expansion for the sci-fi MMORPG EVE Online that introduced new features focused on player-driven warfare, infrastructure, and long-term strategic planning.
  • E. Rubicon
    Rubicon is a peer-reviewed open-access journal published by Frontiers that focuses on interdisciplinary research and scholarly communication.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72532e9348190ad37fe858843d0f5 completed April 21, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a096dd03f008190a52d21e17eb8e90e completed May 17, 2026, 7:27 a.m.
NEDg Description generation batch_6a096ef9a6388190ba34cbe01863946c completed May 17, 2026, 7:32 a.m.
NED2 Entity disambiguation (via description) batch_6a096f7706448190a1bb61535e0adcd3 completed May 17, 2026, 7:34 a.m.
Created at: April 16, 2026, 2:59 p.m.