Triple

T37176412
Position Surface form Disambiguated ID Type / Status
Subject Johnny Paycheck E921059 entity
Predicate notableSong P4 FINISHED
Object Take This Job and Shove It
"Take This Job and Shove It" is a 1977 country hit made famous by Johnny Paycheck, known for its rebellious, working-class anthem about quitting a hated job.
 E2217102 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: Take This Job and Shove It | Statement: [Johnny Paycheck, notableSong, Take This Job and Shove It]
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: Take This Job and Shove It
Triple: [Johnny Paycheck, notableSong, Take This Job and Shove It]
Generated description
"Take This Job and Shove It" is a 1977 country hit made famous by Johnny Paycheck, known for its rebellious, working-class anthem about quitting a hated job.

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_69f76ea16f288190b445aa1604d996f4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb35ee03088190aae12ccc43fadcc1 completed May 6, 2026, 12:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40360f306481908357e541fe5fb23d completed June 27, 2026, 8:43 p.m.
NEDg Description generation batch_6a4036aa606081908c37cae19a44be22 completed June 27, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_6a4038210f388190a2546f1de996a3db completed June 27, 2026, 8:52 p.m.
Created at: May 3, 2026, 4:15 p.m.