Triple

T30639278
Position Surface form Disambiguated ID Type / Status
Subject Scalzi E779928 entity
Predicate notableBearerOnlinePresence P34365 FINISHED
Object Whatever (John Scalzi's blog)
Whatever is science fiction author John Scalzi’s long-running personal blog, known for its commentary on writing, politics, and geek culture.
 E1924476 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: Whatever (John Scalzi's blog) | Statement: [Scalzi, notableBearerOnlinePresence, Whatever (John Scalzi's blog)]
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: Whatever (John Scalzi's blog)
Triple: [Scalzi, notableBearerOnlinePresence, Whatever (John Scalzi's blog)]
Generated description
Whatever is science fiction author John Scalzi’s long-running personal blog, known for its commentary on writing, politics, and geek culture.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: notableBearerOnlinePresence
Context triple: [Scalzi, notableBearerOnlinePresence, Whatever (John Scalzi's blog)]
  • A. onlinePresence
    Indicates that an entity maintains a presence or representation on the internet, such as through websites, profiles, or digital platforms.
  • B. notablePresence
    Indicates that an entity has a significant or prominent presence in relation to another entity, context, or domain.
  • C. globalPresence
    Indicates that an entity operates, is represented, or has a significant footprint across multiple countries or world regions.
  • D. maintainedPresence
    Indicates that an entity continuously remained in or kept an ongoing presence within a particular context, location, or situation over a period of time.
  • E. notableOnlinePresence chosen
    Indicates that an entity maintains a significant, recognizable, or influential presence in online platforms or digital media.
  • 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_69f224a50ebc81909b961a94c7f66b12 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2863f45fe08190b9444199303a07b9 completed June 9, 2026, 7:05 p.m.
NEDg Description generation batch_6a28683a08c48190992c65e4ebd02e56 completed June 9, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a2868fa5d1c81909ec9422f7d152a75 completed June 9, 2026, 7:26 p.m.
PD Predicate disambiguation batch_6a0379e2fac0819089b522db3260028c completed May 12, 2026, 7:05 p.m.
Created at: April 29, 2026, 8:29 p.m.