Triple
T10009713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For Everyman |
E198339
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Take It Easy |
E198341
|
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 It Easy | Statement: [For Everyman, hasPart, Take It Easy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take It Easy Context triple: [For Everyman, hasPart, Take It Easy]
-
A.
Take It Easy
chosen
"Take It Easy" is a classic early-1970s country rock song, co-written by Jackson Browne and Glenn Frey, that became one of the Eagles’ signature hits.
-
B.
Road Song
"Road Song" is a jazz guitar composition by Wes Montgomery, celebrated for its smooth, melodic lines and prominent use of orchestral arrangements.
-
C.
"Relax, Take It Easy"
"Relax, Take It Easy" is a 2006 electro-pop song by British singer Mika, known for its upbeat melody and falsetto vocals that helped launch his mainstream success.
-
D.
Ease On Down the Road
"Ease On Down the Road" is an upbeat, funk-infused show tune from the musical The Wiz, best known as a joyful reimagining of "We're Off to See the Wizard" from The Wizard of Oz.
-
E.
Get Away
"Get Away" is a track by the Queensbridge hip hop duo Mobb Deep, known for its dark, gritty production and introspective street lyricism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd39e074819097f77a4d4bf7856e |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a7265b88190b69e7869a96bb404 |
completed | April 5, 2026, 1:58 p.m. |
Created at: March 30, 2026, 8:52 p.m.