Triple

T34994922
Position Surface form Disambiguated ID Type / Status
Subject Peter Tork E1009501 entity
Predicate birthName P65 FINISHED
Object Peter Halsten Thorkelson
Peter Halsten Thorkelson, better known as Peter Tork, was an American musician and actor best known as the bassist and keyboardist of the 1960s pop-rock band The Monkees.
E2121501 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: Peter Halsten Thorkelson | Statement: [Peter Tork, birthName, Peter Halsten Thorkelson]
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: Peter Halsten Thorkelson
Triple: [Peter Tork, birthName, Peter Halsten Thorkelson]
Generated description
Peter Halsten Thorkelson, better known as Peter Tork, was an American musician and actor best known as the bassist and keyboardist of the 1960s pop-rock band The Monkees.

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_69f76dca50dc8190b71f39defe186be8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f784c1d20481909f80fb658d007d72 completed May 3, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37bd1425c88190a58c359cf7c8ad99 completed June 21, 2026, 10:29 a.m.
NEDg Description generation batch_6a37bdfa5b9881909ee2ca6e7141e0c2 completed June 21, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_6a37be5543b081908149cef133801582 completed June 21, 2026, 10:35 a.m.
Created at: May 3, 2026, 4:01 p.m.