Triple

T36785837
Position Surface form Disambiguated ID Type / Status
Subject NSEA Protector E908908 entity
Predicate hasScienceOfficer P81663 FINISHED
Object Dr. Lazarus
Dr. Lazarus is the stoic, alien science officer character from the fictional starship NSEA Protector in the sci-fi comedy universe of "Galaxy Quest."
 E2200571 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: Dr. Lazarus | Statement: [NSEA Protector, hasScienceOfficer, Dr. Lazarus]
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: Dr. Lazarus
Triple: [NSEA Protector, hasScienceOfficer, Dr. Lazarus]
Generated description
Dr. Lazarus is the stoic, alien science officer character from the fictional starship NSEA Protector in the sci-fi comedy universe of "Galaxy Quest."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasScienceOfficer
Context triple: [NSEA Protector, hasScienceOfficer, Dr. Lazarus]
  • A. scienceOfficer chosen
    Indicates that one entity serves in the role or capacity of a science officer in relation to another entity.
  • B. scienceOfficerAfterCapture
    Indicates that an entity serves or is designated as a science officer only after a capture event has occurred.
  • C. hasScience
    Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
  • D. hasHumanScientistCharacter
    Indicates that an entity includes or features a character who is a human scientist.
  • E. hasScienceBody
    Indicates that an entity is associated with or possesses a scientific body, such as a scientific organization, committee, or authoritative scientific group.
  • 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_69f76e7a937c81909ed7359641e670f6 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd6dbd1b648190b1a0b391c03aebc5 completed May 8, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3dde5984608190879d32c2bcd1c709 completed June 26, 2026, 2:05 a.m.
NEDg Description generation batch_6a3ddf111f908190a46deed2d8ae42ee completed June 26, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_6a3de9ce46948190ab38247a624560fc completed June 26, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69fd6a9020548190bbfa845360ac85fb completed May 8, 2026, 4:46 a.m.
Created at: May 3, 2026, 4:12 p.m.