Triple

T18370777
Position Surface form Disambiguated ID Type / Status
Subject USS Discovery (NCC-1031) E446174 entity
Predicate crewMember P2094 FINISHED
Object Keyla Detmer
Keyla Detmer is a Starfleet helmsman in the 23rd-century era of the Star Trek universe, known for piloting the USS Discovery and her distinctive cranial implants following injuries sustained in battle.
E1465353 NE FINISHED

How this triple was built (4 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: Keyla Detmer | Statement: [USS Discovery (NCC-1031), crewMember, Keyla Detmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keyla Detmer
Context triple: [USS Discovery (NCC-1031), crewMember, Keyla Detmer]
  • A. Kaylee DeFer
    Kaylee DeFer is an American actress best known for her television roles in series such as "The War at Home" and "Gossip Girl."
  • B. Kaitlyn Dunn
    Kaitlyn Dunn is a person notable enough to be specifically referenced as a bearer of the surname Dunn.
  • C. Elyssa Jerret
    Elyssa Jerret is an American woman best known for her past marriage to Aerosmith guitarist Joe Perry.
  • D. Katie Luber
    Katie Luber is an American art museum director and curator known for leading major institutions, including the Minneapolis Institute of Art.
  • E. Kayla Emter
    Kayla Emter is a film editor best known for her work on the crime drama film "Hustlers."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Keyla Detmer
Triple: [USS Discovery (NCC-1031), crewMember, Keyla Detmer]
Generated description
Keyla Detmer is a Starfleet helmsman in the 23rd-century era of the Star Trek universe, known for piloting the USS Discovery and her distinctive cranial implants following injuries sustained in battle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Keyla Detmer
Target entity description: Keyla Detmer is a Starfleet helmsman in the 23rd-century era of the Star Trek universe, known for piloting the USS Discovery and her distinctive cranial implants following injuries sustained in battle.
  • A. Kaylee DeFer
    Kaylee DeFer is an American actress best known for her television roles in series such as "The War at Home" and "Gossip Girl."
  • B. Kaitlyn Dunn
    Kaitlyn Dunn is a person notable enough to be specifically referenced as a bearer of the surname Dunn.
  • C. Elyssa Jerret
    Elyssa Jerret is an American woman best known for her past marriage to Aerosmith guitarist Joe Perry.
  • D. Katie Luber
    Katie Luber is an American art museum director and curator known for leading major institutions, including the Minneapolis Institute of Art.
  • E. Kayla Emter
    Kayla Emter is a film editor best known for her work on the crime drama film "Hustlers."
  • F. None of above. chosen

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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5175324e48190a00572e15423feb7 completed April 19, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09504e01b48190a7a40215c542580c completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a09533134208190918e7a545576465c completed May 17, 2026, 5:33 a.m.
NED2 Entity disambiguation (via description) batch_6a09539ec5a48190a9a513732b88e4c1 completed May 17, 2026, 5:35 a.m.
Created at: April 10, 2026, 10:44 a.m.