Triple
T8129646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yes Day |
E189821
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Michael Andrews |
E232576
|
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: Michael Andrews | Statement: [Yes Day, musicBy, Michael Andrews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Andrews Context triple: [Yes Day, musicBy, Michael Andrews]
-
A.
Michael Andrews
chosen
Michael Andrews is an American film composer and musician known for his atmospheric scores for movies such as Donnie Darko and Bridesmaids.
-
B.
Michael Andrews
Michael Andrews was a prominent British painter associated with the School of London, known for his psychologically charged figurative works and atmospheric landscapes.
-
C.
Mike Andrews
Mike Andrews is a former Major League Baseball second baseman best known for his time with the Boston Red Sox during their famed "Impossible Dream" 1967 season.
-
D.
Jonathan Speirs
Jonathan Speirs was a renowned Scottish architectural lighting designer known for co-founding influential lighting design practices and shaping the illumination of landmark buildings worldwide.
-
E.
Matthew Rundell
Matthew Rundell is a film editor known for his work on the action drama movie "Mercury Plains."
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b6b4dc8190be237e6dd21c863b |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd949f48d48190b6b908c01ae49ee4 |
completed | April 1, 2026, 9:56 p.m. |
Created at: March 30, 2026, 5:34 p.m.