Triple

T25350111
Position Surface form Disambiguated ID Type / Status
Subject A Fire Upon the Deep E635658 entity
Predicate featuresSpecies P7733 FINISHED
Object Tines
Tines are an alien species from Vernor Vinge’s science fiction universe, characterized by their group-mind intelligence formed from packs of dog-like individuals who collectively function as a single person.
E1676019 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: Tines | Statement: [A Fire Upon the Deep, featuresSpecies, Tines]
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: Tines
Triple: [A Fire Upon the Deep, featuresSpecies, Tines]
Generated description
Tines are an alien species from Vernor Vinge’s science fiction universe, characterized by their group-mind intelligence formed from packs of dog-like individuals who collectively function as a single person.

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_69e75a9ac5d881909387ed766e20cd47 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f49dfb8c688190aad99932e6fe956a completed May 1, 2026, 12:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1075fb5d388190ab80c8125fd9057c completed May 22, 2026, 3:27 p.m.
NEDg Description generation batch_6a10771a5a648190844a509e6ac507be completed May 22, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_6a1077d01fa08190b5439eba879538ef completed May 22, 2026, 3:35 p.m.
Created at: April 21, 2026, 1:34 p.m.