Triple

T32556880
Position Surface form Disambiguated ID Type / Status
Subject Dinosaur Train E832117 entity
Predicate educationalSegment P179538 FINISHED
Object Dr. Scott the Paleontologist
Dr. Scott the Paleontologist is a real-life paleontologist and on-screen host who appears in the children's series "Dinosaur Train" to explain dinosaur science and fossils to young viewers.
 E2013140 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. Scott the Paleontologist | Statement: [Dinosaur Train, educationalSegment, Dr. Scott the Paleontologist]
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. Scott the Paleontologist
Triple: [Dinosaur Train, educationalSegment, Dr. Scott the Paleontologist]
Generated description
Dr. Scott the Paleontologist is a real-life paleontologist and on-screen host who appears in the children's series "Dinosaur Train" to explain dinosaur science and fossils to young viewers.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: educationalSegment
Context triple: [Dinosaur Train, educationalSegment, Dr. Scott the Paleontologist]
  • A. educationalFocus
    Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
  • B. educationalContent
    Indicates that one entity provides or is associated with instructional or learning-oriented material intended to educate another entity.
  • C. educationalActivity
    Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
  • D. educationalHubFor
    Indicates that one entity serves as a central place or resource for providing education, learning opportunities, or academic support to another entity.
  • E. educationalSector
    Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
  • 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_69f34926b9848190ace47d2dd0a0de7c completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f722c1bc648190a79bfdc722dcaaa4 completed May 3, 2026, 10:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a347b901f64819090878c5d44152293 completed June 18, 2026, 11:13 p.m.
NEDg Description generation batch_6a347c427de8819083c0a683e40f660b completed June 18, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a347e0a2ed48190b8648eb4406bef26 completed June 18, 2026, 11:23 p.m.
PD Predicate disambiguation batch_69f72153a9188190b02adc84e1be4af8 completed May 3, 2026, 10:20 a.m.
PDg Predicate description generation batch_69f7221bc57c819085c1464a45e61b2f completed May 3, 2026, 10:23 a.m.
Created at: May 1, 2026, 1:03 a.m.