Triple
T10963549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Luther Bryan |
E259037
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Play It Again |
E259044
|
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: Play It Again | Statement: [Thomas Luther Bryan, notableSong, Play It Again]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Play It Again Context triple: [Thomas Luther Bryan, notableSong, Play It Again]
-
A.
Play It Again
chosen
"Play It Again" is a popular country song by American singer Luke Bryan, known for its catchy melody and romantic storytelling lyrics.
-
B.
Do It Again
"Do It Again" is a pop song by Australian singer-songwriter Cassie Davis, known for its catchy hooks and radio-friendly production.
-
C.
Do It Again
"Do It Again" is a 1972 jazz-rock song by Steely Dan, known for its distinctive electric sitar hook and cynical, narrative lyrics.
-
D.
Do It Again
"Do It Again" is the official song of the 2023 FIFA Women’s World Cup, created as a high-energy anthem to represent and promote the tournament.
-
E.
Once Again
"Once Again" is a song featured on the album "Show Me."
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77147f7108190a3b68ba1dd1c130e |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d77277108190979f1b1edeac8964 |
completed | April 18, 2026, 12:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.