Triple

T24677610
Position Surface form Disambiguated ID Type / Status
Subject The Strawberry Alarm Clock E611031 entity
Predicate hasMember P10 FINISHED
Object Gary Lovetro
Gary Lovetro is a musician best known as a member of the 1960s psychedelic rock band Strawberry Alarm Clock.
E1656858 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: Gary Lovetro | Statement: [The Strawberry Alarm Clock, hasMember, Gary Lovetro]
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: Gary Lovetro
Triple: [The Strawberry Alarm Clock, hasMember, Gary Lovetro]
Generated description
Gary Lovetro is a musician best known as a member of the 1960s psychedelic rock band Strawberry Alarm Clock.

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_69e2c4d5c2dc8190ac857dea25ec6ce9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40fb0b500819082a6f2255a60835b completed May 1, 2026, 2:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1032f296cc81909fea333e2339b826 completed May 22, 2026, 10:41 a.m.
NEDg Description generation batch_6a1033ece8248190bc0ee7fa4976848d completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a103487a09c81908960296ff597228f completed May 22, 2026, 10:48 a.m.
Created at: April 18, 2026, 3:07 a.m.