Triple

T36785839
Position Surface form Disambiguated ID Type / Status
Subject NSEA Protector E908908 entity
Predicate hasCommunicationsOfficer P205046 FINISHED
Object Lieutenant Tawny Madison
Lieutenant Tawny Madison is the communications officer character, played by Sigourney Weaver, in the sci-fi comedy film "Galaxy Quest," known for humorously repeating the ship’s computer.
 E2198634 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: Lieutenant Tawny Madison | Statement: [NSEA Protector, hasCommunicationsOfficer, Lieutenant Tawny Madison]
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: Lieutenant Tawny Madison
Triple: [NSEA Protector, hasCommunicationsOfficer, Lieutenant Tawny Madison]
Generated description
Lieutenant Tawny Madison is the communications officer character, played by Sigourney Weaver, in the sci-fi comedy film "Galaxy Quest," known for humorously repeating the ship’s computer.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCommunicationsOfficer
Context triple: [NSEA Protector, hasCommunicationsOfficer, Lieutenant Tawny Madison]
  • A. hasOfficerLanguage
    Indicates that an officer is able or authorized to communicate in a specified language.
  • B. isOfficerOf
    Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
  • C. hasAppointedOfficial
    Indicates that one entity has formally selected and installed another entity into an official position or role.
  • D. hasOfficialReporter
    Indicates that something (such as a case, decision, or proceeding) is associated with an officially designated reporter or publication that records it.
  • E. hasChiefAdministrativeOfficer
    Indicates that one entity serves as the chief administrative officer (the top executive responsible for overall administration and management) of another entity.
  • 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_69f76e7a937c81909ed7359641e670f6 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3d17a33e9c8190b359e08759d14a7d completed June 25, 2026, 11:57 a.m.
NEDg Description generation batch_6a3d1925ca848190bf5e320bee61143a completed June 25, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_6a3d66e7eae08190a7184e0d489d944c completed June 25, 2026, 5:35 p.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82f8c88190bd77a086023ac0e1 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:12 p.m.