Triple

T30677776
Position Surface form Disambiguated ID Type / Status
Subject I Swear E780966 entity
Predicate writer P1360 FINISHED
Object Frank J. Myers
Frank J. Myers is an American country music songwriter and producer known for penning numerous hit songs for major country artists.
 E2290553 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: Frank J. Myers | Statement: [I Swear, writer, Frank J. Myers]
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: Frank J. Myers
Triple: [I Swear, writer, Frank J. Myers]
Generated description
Frank J. Myers is an American country music songwriter and producer known for penning numerous hit songs for major country artists.

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_69f224a7fc208190a07d6d3879b31640 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68b19963c81908cf2839cbf1fbf1c completed May 2, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a5bdf9dfcdc819080f71d3c624adf6d completed July 18, 2026, 8:18 p.m.
NEDg Description generation batch_6a5be005550c8190996a0ffed57dad6d completed July 18, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a5be05df37c8190a244f6f24dcdcc5c completed July 18, 2026, 8:21 p.m.
Created at: April 29, 2026, 8:32 p.m.