Triple

T37323637
Position Surface form Disambiguated ID Type / Status
Subject Thing Explainer: Complicated Stuff in Simple Words E926543 entity
Predicate hasPart P35 FINISHED
Object The Tree-Builder diagram
The Tree-Builder diagram is a simplified, xkcd-style illustration in Randall Munroe’s "Thing Explainer" that visually breaks down how trees grow and are structured using only common, simple words.
E2222136 NE FINISHED

How this triple was built (2 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: The Tree-Builder diagram | Statement: [Thing Explainer: Complicated Stuff in Simple Words, hasPart, The Tree-Builder diagram]
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: The Tree-Builder diagram
Triple: [Thing Explainer: Complicated Stuff in Simple Words, hasPart, The Tree-Builder diagram]
Generated description
The Tree-Builder diagram is a simplified, xkcd-style illustration in Randall Munroe’s "Thing Explainer" that visually breaks down how trees grow and are structured using only common, simple words.

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_69f76eb386d88190a8d511aa11540dfc completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5b425a08819081a85935e90c5ab9 completed May 6, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40639d4fcc819082820f5938e1ea8b completed June 27, 2026, 11:58 p.m.
NEDg Description generation batch_6a40649da7188190907f2c12b6a9ce1e completed June 28, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a40655bd8d881908a0824fbd19562cd completed June 28, 2026, 12:05 a.m.
Created at: May 3, 2026, 4:16 p.m.