Triple

T25224535
Position Surface form Disambiguated ID Type / Status
Subject Captain Carol Freeman E632055 entity
Predicate shipRegistryCommanded P90806 FINISHED
Object USS Cerritos NCC-75567
The USS Cerritos NCC-75567 is a California-class Federation starship featured in the animated series "Star Trek: Lower Decks," known for its focus on second-contact and support missions rather than front-line exploration.
E1676923 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: USS Cerritos NCC-75567 | Statement: [Captain Carol Freeman, shipRegistryCommanded, USS Cerritos NCC-75567]
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: USS Cerritos NCC-75567
Triple: [Captain Carol Freeman, shipRegistryCommanded, USS Cerritos NCC-75567]
Generated description
The USS Cerritos NCC-75567 is a California-class Federation starship featured in the animated series "Star Trek: Lower Decks," known for its focus on second-contact and support missions rather than front-line exploration.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shipRegistryCommanded
Context triple: [Captain Carol Freeman, shipRegistryCommanded, USS Cerritos NCC-75567]
  • A. shipRegistry
    Indicates that an entity is officially recorded or listed in a particular ship registry or registration system.
  • B. shipOwnedOrCommanded chosen
    Indicates that an entity either owns a ship or serves as its commanding authority.
  • C. shipCommissionedAs
    Indicates that a ship entered active service under a specific name or designation at the time of its commissioning.
  • D. shipRepresents
    Indicates that one entity (typically a ship) serves as a symbol, stand-in, or representation for another entity, concept, or group.
  • E. shipDraft
    Indicates the depth of a ship’s hull below the waterline, typically representing how deeply the vessel sits in the water.
  • F. None of above.

Provenance (6 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_69e75a8e0f688190a7aebe9a4815e25b completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47cc23da88190bad7b9a28e09898b completed May 1, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1075cb592081908ac83218c1c087ae completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a1076ee49ec8190841090653ecd4079 completed May 22, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_6a10787f645481908b2db12a9a14697c completed May 22, 2026, 3:38 p.m.
PD Predicate disambiguation batch_69f44d849e7c81909945438f40e35362 completed May 1, 2026, 6:51 a.m.
Created at: April 21, 2026, 1:03 p.m.