Triple
T18083861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Rossington |
E432776
|
entity |
| Predicate | coWrote |
P7732
|
FINISHED |
| Object | Tuesday’s Gone |
E532857
|
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: Tuesday’s Gone | Statement: [Gary Rossington, coWrote, Tuesday’s Gone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuesday’s Gone Context triple: [Gary Rossington, coWrote, Tuesday’s Gone]
-
A.
Tuesday's Gone
chosen
"Tuesday's Gone" is a melancholic Southern rock ballad by Lynyrd Skynyrd, known for its reflective lyrics and extended guitar-driven arrangement.
-
B.
Gone
"Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
-
C.
Gone
"Gone" is a song featured on the album "On and On," likely contributing to the record's overall mood and thematic continuity.
-
D.
Gone
"Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
-
E.
Gone
"Gone" is a song featured on the album "Music" by American singer Madonna.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fcdbec819085752e7605ae7772 |
completed | April 19, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d8f11a48190bc123bd65e203905 |
completed | May 12, 2026, 5:04 p.m. |
Created at: April 10, 2026, 10:27 a.m.