Triple
T2487038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridesmaids |
E55949
|
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: [Bridesmaids, musicBy, Michael Andrews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Andrews Context triple: [Bridesmaids, 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.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
C.
Keith Scholey
Keith Scholey is a British wildlife filmmaker and producer known for creating and overseeing major nature documentaries, including the acclaimed series Our Planet.
-
D.
Andrew Pawley
Andrew Pawley was a prominent linguist known for his influential work on Oceanic and Papuan languages, including the Northwest Solomonic group.
-
E.
Mark Sanger
Mark Sanger is a British film editor best known for his Academy Award–winning work on the science fiction thriller "Gravity."
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1782ca081909645164a6acf0ea0 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eecac8548190941aa17044d11e59 |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 6, 2026, 9:45 p.m.