Triple
T17342846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foot Loose & Fancy Free |
E421106
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Hot Legs |
—
|
NE NERFINISHED |
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: Hot Legs | Statement: [Foot Loose & Fancy Free, notableSingle, Hot Legs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hot Legs Context triple: [Foot Loose & Fancy Free, notableSingle, Hot Legs]
-
A.
Hot Legs
chosen
"Hot Legs" is a 1977 rock song by Rod Stewart, known for its driving guitar riff and provocative lyrics, and is one of his signature hits from the late 1970s.
-
B.
Nini Legs-in-the-Air
Nini Legs-in-the-Air is a fictional character from the musical "Moulin Rouge!" known for her acrobatic dancing and flamboyant personality.
-
C.
Between My Legs
"Between My Legs" is a song by singer-songwriter Rufus Wainwright from his album "Release the Stars."
-
D.
Hot Feet
Hot Feet is a Broadway jukebox musical that blends Earth, Wind & Fire songs with a modern retelling of "The Red Shoes," choreographed and directed by Maurice Hines.
-
E.
Live on Ten Legs
Live on Ten Legs is a live album by American rock band Pearl Jam, featuring performances from their 2003–2010 world tours.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a18aca88190a816da85dd5fe371 |
completed | April 19, 2026, 2:12 a.m. |
Created at: April 10, 2026, 5:44 a.m.