Triple
T9237387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Grant |
E221970
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Lead Me On |
E787089
|
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: Lead Me On | Statement: [Amy Grant, notableSong, Lead Me On]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lead Me On Context triple: [Amy Grant, notableSong, Lead Me On]
-
A.
Lead Me On
chosen
Lead Me On is a critically acclaimed contemporary Christian and pop album by Amy Grant, often regarded as one of her most artistically significant works.
-
B.
Lead Me On
"Lead Me On" is a soulful blues track by Bobby "Blue" Bland, recognized as one of the standout songs from his influential album *Two Steps from the Blues*.
-
C.
Lead Me
"Lead Me" is a song by the American alternative rock band The Dandy Warhols from their 2005 album *Blame the Vain*.
-
D.
What Goes On
"What Goes On" is a country-flavored rock song by the Beatles, sung by Ringo Starr and released on their 1965 album Rubber Soul.
-
E.
Lean On
"Lean On" is a globally popular 2015 electronic dance track by Major Lazer and DJ Snake featuring MØ, known for its catchy melody and influential role in mainstreaming EDM and dancehall fusion.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf09e553081909cf864635cfc5dcc |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bc043ec81909393e8af03ab0117 |
completed | April 4, 2026, 5:04 a.m. |
Created at: March 30, 2026, 7:29 p.m.