Triple

T24856969
Position Surface form Disambiguated ID Type / Status
Subject The Garden of Forking Paths E622054 entity
Predicate character P662 FINISHED
Object Dr. Stephen Albert
Dr. Stephen Albert is a scholarly sinologist and former missionary in Jorge Luis Borges’s short story "The Garden of Forking Paths," who deciphers the true nature of Ts’ui Pên’s labyrinthine book.
E1673758 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: Dr. Stephen Albert | Statement: [The Garden of Forking Paths, character, Dr. Stephen Albert]
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. Stephen Albert
Triple: [The Garden of Forking Paths, character, Dr. Stephen Albert]
Generated description
Dr. Stephen Albert is a scholarly sinologist and former missionary in Jorge Luis Borges’s short story "The Garden of Forking Paths," who deciphers the true nature of Ts’ui Pên’s labyrinthine book.

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_69e2fac350d08190b3affde1b451a8c5 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f422e935fc8190be1d32a49eca2a7d completed May 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1067a4063c8190a0bd362cb19aee84 completed May 22, 2026, 2:26 p.m.
NEDg Description generation batch_6a106883259c8190a5cd5759a46c4c40 completed May 22, 2026, 2:30 p.m.
NED2 Entity disambiguation (via description) batch_6a106b36ea6481908bd4a4ead6b40818 completed May 22, 2026, 2:41 p.m.
Created at: April 18, 2026, 5:21 a.m.