Triple
T14202119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lionel Richie live setlists |
E351988
|
entity |
| Predicate | typicallyIncludeSong |
P20452
|
FINISHED |
| Object | Say You, Say Me |
E70711
|
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: Say You, Say Me | Statement: [Lionel Richie live setlists, typicallyIncludeSong, Say You, Say Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Say You, Say Me Context triple: [Lionel Richie live setlists, typicallyIncludeSong, Say You, Say Me]
-
A.
Say You, Say Me
chosen
"Say You, Say Me" is a 1985 soft rock ballad by Lionel Richie that became a number-one hit and won the Academy Award for Best Original Song.
-
B.
Say It to Me
"Say It to Me" is a song by the English synth-pop duo Pet Shop Boys from their 2016 album "Super."
-
C.
They Say
"They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
-
D.
Say It
"Say It" is a song by American alternative rock band Blue October, known for its emotionally charged lyrics and intense, melodic sound.
-
E.
Say It
"Say It" is a track by the American hip hop group R.E.D, featured as part of their musical releases.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f589a08190b71ad4e69d92ffd0 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194f13688190af7ef5ceb92a73ff |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.