Triple

T29340981
Position Surface form Disambiguated ID Type / Status
Subject The Executor E744035 entity
Predicate setAboard P166658 FINISHED
Object Executor
Executor is the massive Super Star Destroyer that serves as Darth Vader’s flagship in the Star Wars universe.
 E1861613 NE FINISHED

How this triple was built (3 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: Executor | Statement: [The Executor, setAboard, Executor]
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: Executor
Triple: [The Executor, setAboard, Executor]
Generated description
Executor is the massive Super Star Destroyer that serves as Darth Vader’s flagship in the Star Wars universe.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: setAboard
Context triple: [The Executor, setAboard, Executor]
  • A. boardingFor
    Indicates that one entity serves as the designated boarding location or facility for another entity, such as passengers or animals.
  • B. isBoarding
    Indicates that an entity is in the process of getting onto or entering a vehicle, vessel, or similar mode of transport.
  • C. aboardShip
    Indicates that one entity is physically on or inside a ship, typically as a passenger, crew member, or cargo.
  • D. onboardLocation
    Indicates that one entity is located on or within a vehicle, vessel, or other conveyance associated with another entity.
  • E. shipBoardedFrom
    Indicates that an entity boarded a ship originating from or at a specified location or source.
  • F. None of above. chosen

Provenance (7 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_69f09126cfcc8190899b16fbf3c2bf7b completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69f66926e7a48190a1b580fd9fe67c31 completed May 2, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25a8811d648190bb0ad8f068cd5085 completed June 7, 2026, 5:21 p.m.
NEDg Description generation batch_6a25ac8968648190b075ba14bd35f06e completed June 7, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_6a25b11292e48190823e673d9d093664 completed June 7, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69f660f4f7a88190b93c60d76b86c912 completed May 2, 2026, 8:39 p.m.
PDg Predicate description generation batch_69f661b47d088190934f63884a203261 completed May 2, 2026, 8:42 p.m.
Created at: April 28, 2026, 1:33 p.m.