Triple

T32294325
Position Surface form Disambiguated ID Type / Status
Subject The Adderall Diaries E825045 entity
Predicate setting P1957 FINISHED
Object San Francisco
San Francisco is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, diverse culture, and historic role in technology and counterculture movements.
 E242 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: San Francisco | Statement: [The Adderall Diaries, setting, San Francisco]
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: San Francisco
Triple: [The Adderall Diaries, setting, San Francisco]
Generated description
San Francisco is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, diverse culture, and historic role in technology and counterculture movements.

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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bd38959c8190ab96268f1c8016e7 completed May 3, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f46c0871881908373cb7794f55604 completed June 15, 2026, 12:26 a.m.
NEDg Description generation batch_6a2f4759204c8190903a9b022f3e4816 completed June 15, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_6a2f4841adc08190bb640f6efb2359a0 completed June 15, 2026, 12:33 a.m.
Created at: May 1, 2026, 12:44 a.m.