Triple

T15625207
Position Surface form Disambiguated ID Type / Status
Subject Lightyear E375660 entity
Predicate title P38 FINISHED
Object Lightyear E375660 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: Lightyear | Statement: [Lightyear, title, Lightyear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lightyear
Context triple: [Lightyear, title, Lightyear]
  • A. Lightyear chosen
    Lightyear is a 2022 Pixar animated science-fiction film that serves as the in-universe origin story of the Buzz Lightyear character from the Toy Story franchise.
  • B. Tomorrowland
    Tomorrowland is a futuristic-themed land found in several Disney parks, featuring attractions and environments inspired by space travel, advanced technology, and visions of the future.
  • C. Tomorrowland
    Tomorrowland is one of the world’s largest and most famous electronic dance music festivals, held annually in Boom, Belgium.
  • D. Tomorrowland (film)
    Tomorrowland is a 2015 science-fiction adventure film directed by Brad Bird that follows a gifted teenager and a disillusioned inventor who discover a futuristic parallel world and attempt to save both it and Earth from impending catastrophe.
  • E. Over the Moon
    Over the Moon is a 1939 British romantic comedy film starring Merle Oberon as a wealthy heiress who seeks love and adventure beyond her provincial life.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9e5e248190ae54cda1fde51efb completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3f65dc8190ac94db1d4d53d77f completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.