Triple
T17342065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bee Gees |
E421088
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | First of May |
E894588
|
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: First of May | Statement: [Bee Gees, notableWork, First of May]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: First of May Context triple: [Bee Gees, notableWork, First of May]
-
A.
First of May
chosen
"First of May" is a song by the Bee Gees, known as a gentle pop ballad originally released on their 1969 album Odessa.
-
B.
The Merry Month of May
"The Merry Month of May" is a traditional British military march tune widely associated with cavalry regiments and ceremonial occasions.
-
C.
Poppy Day
Poppy Day is a remembrance observance, particularly in Commonwealth countries, honoring military personnel who died in war, symbolized by the wearing of red poppies.
-
D.
The March
"The March" is a historical novel by E. L. Doctorow that vividly portrays General William Tecumseh Sherman’s devastating Civil War campaign through the intertwined lives of soldiers and civilians.
-
E.
The March
The March is a creative work by Daniel Stewart, likely a literary or artistic piece recognized as one of his significant contributions.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a173e1c8190afcebf25ee902cc8 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5a7c308190b478918b66a4276c |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:44 a.m.