Triple

T309120
Position Surface form Disambiguated ID Type / Status
Subject George Lucas E6364 entity
Predicate founded P104 FINISHED
Object Lucasfilm E32166 NE FINISHED

How this triple was built (2 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: Lucasfilm | Statement: [George Lucas, founded, Lucasfilm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucasfilm
Context triple: [George Lucas, founded, Lucasfilm]
  • A. Lucasfilm chosen
    Lucasfilm is a renowned American film and television production company best known for creating the Star Wars and Indiana Jones franchises.
  • B. Walt Disney Pictures
    Walt Disney Pictures is a major American film production studio best known for producing family-oriented animated and live-action movies under the Disney brand.
  • C. Disney Theatrical Group
    Disney Theatrical Group is the live stage production arm of Disney, best known for creating and producing Broadway and international musical adaptations of the company’s film and animated properties.
  • D. 20th Century Fox
    20th Century Fox was a leading American film studio renowned for producing and distributing many iconic movies during and after Hollywood’s Golden Age.
  • E. Walt Disney Animation Studios
    Walt Disney Animation Studios is a renowned American animation studio best known for creating classic and contemporary feature-length animated films such as Snow White and the Seven Dwarfs, The Lion King, and Frozen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea33ba688190b30d285cd7aa0d82 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b475e91c8190b68b05a8112d35dd completed March 1, 2026, 3:37 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.