Triple

T26861065
Position Surface form Disambiguated ID Type / Status
Subject Anne Lamott E676330 entity
Predicate notableWork P4 FINISHED
Object Bird by Bird
Bird by Bird is Anne Lamott’s widely acclaimed, humorous and practical guide to writing and the writing life.
 E1745414 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: Bird by Bird | Statement: [Anne Lamott, notableWork, Bird by Bird]
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: Bird by Bird
Triple: [Anne Lamott, notableWork, Bird by Bird]
Generated description
Bird by Bird is Anne Lamott’s widely acclaimed, humorous and practical guide to writing and the writing life.

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_69eee9ba94bc8190b44c5d4397d04ecd completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61e943d40819098891ce10abd4448 completed May 2, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1213586f7c81909dd0e87a1451166e completed May 23, 2026, 8:51 p.m.
NEDg Description generation batch_6a12165c59ac81908e793b1219f82c53 completed May 23, 2026, 9:04 p.m.
NED2 Entity disambiguation (via description) batch_6a121725f8d48190bbf8a15cfd332ee0 completed May 23, 2026, 9:07 p.m.
Created at: April 27, 2026, 5:25 a.m.