Triple

T29189160
Position Surface form Disambiguated ID Type / Status
Subject Battle of Scarif E739945 entity
Predicate featuresStarship P7744 FINISHED
Object Rogue One (UT-60D U-wing)
Rogue One (UT-60D U-wing) is a heavily modified Rebel Alliance troop transport and gunship used by Jyn Erso’s team during their mission to steal the Death Star plans.
E1895965 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: Rogue One (UT-60D U-wing) | Statement: [Battle of Scarif, featuresStarship, Rogue One (UT-60D U-wing)]
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: Rogue One (UT-60D U-wing)
Triple: [Battle of Scarif, featuresStarship, Rogue One (UT-60D U-wing)]
Generated description
Rogue One (UT-60D U-wing) is a heavily modified Rebel Alliance troop transport and gunship used by Jyn Erso’s team during their mission to steal the Death Star plans.

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_69f07cb8033c8190b8807e219a14333d completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f66389a3a081908869b3ff201ec305 completed May 2, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a273205bf588190b157d9609eb2dd2d completed June 8, 2026, 9:20 p.m.
NEDg Description generation batch_6a27339fe2d08190a87a96a40ec28291 completed June 8, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_6a273418456c81909e10171f4a66b273 completed June 8, 2026, 9:28 p.m.
Created at: April 28, 2026, 12:01 p.m.