Triple

T26249326
Position Surface form Disambiguated ID Type / Status
Subject Irma Rombauer E656536 entity
Predicate laterEditionPublisher P132193 FINISHED
Object Bobbs-Merrill Company
Bobbs-Merrill Company was an American publishing house best known for producing influential legal texts and popular works of literature in the late 19th and early 20th centuries.
 E1716548 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: Bobbs-Merrill Company | Statement: [Irma Rombauer, laterEditionPublisher, Bobbs-Merrill Company]
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: Bobbs-Merrill Company
Triple: [Irma Rombauer, laterEditionPublisher, Bobbs-Merrill Company]
Generated description
Bobbs-Merrill Company was an American publishing house best known for producing influential legal texts and popular works of literature in the late 19th and early 20th centuries.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: laterEditionPublisher
Context triple: [Irma Rombauer, laterEditionPublisher, Bobbs-Merrill Company]
  • A. laterEditionPublisherOfWork chosen
    Indicates that a publisher is responsible for issuing a later edition of a previously existing work.
  • B. laterEditions
    Indicates that one entity is a subsequent or more recent edition of another entity.
  • C. authoritativeEditionPublisher
    Indicates that an entity is the publisher responsible for issuing the authoritative or officially recognized edition of a work.
  • D. laterEditionContains
    Indicates that a later edition of a work includes all or part of the content from an earlier edition.
  • E. laterPrimaryPublisher
    Indicates that one entity served as a subsequent or later primary publisher of another entity, following an earlier primary publisher.
  • 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_69ee5b4d25ac819086acb51184602576 completed April 26, 2026, 6:37 p.m.
NER Named-entity recognition batch_69f7221dc9a88190bb8194fcc29c42bc completed May 3, 2026, 10:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1185a3b6f88190ab6eb9cc56b31b45 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a1189586bdc81909c4cd4f17322c7aa completed May 23, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_6a1189c83bb4819084455a1027534a74 completed May 23, 2026, 11:04 a.m.
PD Predicate disambiguation batch_69f72153a9188190b02adc84e1be4af8 completed May 3, 2026, 10:20 a.m.
Created at: April 26, 2026, 9:06 p.m.