Triple

T3338433
Position Surface form Disambiguated ID Type / Status
Subject James Algar E70195 entity
Predicate notableWork P4 FINISHED
Object The Gnome-Mobile
The Gnome-Mobile is a 1967 Walt Disney live-action fantasy comedy film about two children who help a businessman protect a pair of gnomes and their forest home.
E349023 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: The Gnome-Mobile | Statement: [James Algar, notableWork, The Gnome-Mobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Gnome-Mobile
Context triple: [James Algar, notableWork, The Gnome-Mobile]
  • A. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • B. Ovi
    Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
  • C. Breeze Mobile
    Breeze Mobile is a mobile ticketing and payment app used by the Metropolitan Atlanta Rapid Transit Authority (MARTA) for accessing public transit services in the Atlanta area.
  • D. Nokia 3410
    The Nokia 3410 is an early-2000s GSM mobile phone known for its durable design, long battery life, and support for Java-based games and applications.
  • E. Nokia 3330
    The Nokia 3330 is a popular early-2000s mobile phone known for its durable build, long battery life, and classic monochrome display with simple games like Snake.
  • 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: The Gnome-Mobile
Triple: [James Algar, notableWork, The Gnome-Mobile]
Generated description
The Gnome-Mobile is a 1967 Walt Disney live-action fantasy comedy film about two children who help a businessman protect a pair of gnomes and their forest home.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Gnome-Mobile
Target entity description: The Gnome-Mobile is a 1967 Walt Disney live-action fantasy comedy film about two children who help a businessman protect a pair of gnomes and their forest home.
  • A. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • B. Ovi
    Ovi is the widely recognized nickname of Alex Ovechkin, the prolific Russian goal-scorer and NHL superstar.
  • C. Breeze Mobile
    Breeze Mobile is a mobile ticketing and payment app used by the Metropolitan Atlanta Rapid Transit Authority (MARTA) for accessing public transit services in the Atlanta area.
  • D. Nokia 3410
    The Nokia 3410 is an early-2000s GSM mobile phone known for its durable design, long battery life, and support for Java-based games and applications.
  • E. Nokia 3330
    The Nokia 3330 is a popular early-2000s mobile phone known for its durable build, long battery life, and classic monochrome display with simple games like Snake.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bd6c7c8190b7229de1433d8d20 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a8ccc408190bae65d2d1a4d77bd completed March 12, 2026, 7:57 p.m.
NEDg Description generation batch_69b31aded5808190afbe4ae3ddb70428 completed March 12, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_69b31c4665c081908d96878fc257fb76 completed March 12, 2026, 8:04 p.m.
Created at: March 8, 2026, 3:12 p.m.