Triple

T18081899
Position Surface form Disambiguated ID Type / Status
Subject Titan A.E. E432709 entity
Predicate character P662 FINISHED
Object Gune
Gune is a quirky, eccentric alien scientist and mapmaker who serves as comic relief and a key ally to the protagonists in the animated science fiction film Titan A.E.
 E1305783 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: Gune | Statement: [Titan A.E., character, Gune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gune
Context triple: [Titan A.E., character, Gune]
  • A. Gunta
    Gunta is a given name most notably borne by Gunta Stölzl, a pioneering textile artist and the only female master at the Bauhaus school.
  • B. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • C. Guna
    The Guna are an Indigenous people of Panama and Colombia known for their autonomous island communities, vibrant molas (textile art), and strong preservation of traditional culture.
  • D. Guna
    Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
  • E. Gishin
    Gishin was an early Japanese Tendai Buddhist monk and scholar who helped establish and systematize the Tendai school following the teachings of his mentor Dengyō Daishi (Saichō).
  • 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: Gune
Triple: [Titan A.E., character, Gune]
Generated description
Gune is a quirky, eccentric alien scientist and mapmaker who serves as comic relief and a key ally to the protagonists in the animated science fiction film Titan A.E.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gune
Target entity description: Gune is a quirky, eccentric alien scientist and mapmaker who serves as comic relief and a key ally to the protagonists in the animated science fiction film Titan A.E.
  • A. Gunta
    Gunta is a given name most notably borne by Gunta Stölzl, a pioneering textile artist and the only female master at the Bauhaus school.
  • B. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • C. Guna
    The Guna are an Indigenous people of Panama and Colombia known for their autonomous island communities, vibrant molas (textile art), and strong preservation of traditional culture.
  • D. Guna
    Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
  • E. Gishin
    Gishin was an early Japanese Tendai Buddhist monk and scholar who helped establish and systematize the Tendai school following the teachings of his mentor Dengyō Daishi (Saichō).
  • 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_69e4d9fb42888190919fe711a281bd7c completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d8d4ab881909b2ebe0b933e3b97 completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a0360cc5d648190bd7d7d756f662046 completed May 12, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_6a03616317548190a09b0df1c9d6d303 completed May 12, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:27 a.m.