Triple

T32662193
Position Surface form Disambiguated ID Type / Status
Subject Flight of the Budgerigar E835047 entity
Predicate about P380 FINISHED
Object K-9 (Doctor Who)
K-9 (Doctor Who) is a robotic dog companion from the Doctor Who universe, known for his advanced intelligence, laser weaponry, and loyal assistance to the Doctor and their friends.
 E2017635 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: K-9 (Doctor Who) | Statement: [Flight of the Budgerigar, about, K-9 (Doctor Who)]
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: K-9 (Doctor Who)
Triple: [Flight of the Budgerigar, about, K-9 (Doctor Who)]
Generated description
K-9 (Doctor Who) is a robotic dog companion from the Doctor Who universe, known for his advanced intelligence, laser weaponry, and loyal assistance to the Doctor and their friends.

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_69f349303ccc8190a70d0f6e8a21d3fb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c7a52b808190bf7dd52d1479f60b completed May 3, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492b588b88190afc7c6c295f6f82f completed June 19, 2026, 12:52 a.m.
NEDg Description generation batch_6a3493a36e808190bbbfe3ad8dd86e7a completed June 19, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_6a34947b6c5c8190beb4bdce0fe9e238 completed June 19, 2026, 12:59 a.m.
Created at: May 1, 2026, 1:08 a.m.