Triple
T13997739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Legal |
E336744
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Danny Lux |
E175646
|
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: Danny Lux | Statement: [Boston Legal, composer, Danny Lux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Lux Context triple: [Boston Legal, composer, Danny Lux]
-
A.
Danny Lux
chosen
Danny Lux is an American television and film composer known for scoring numerous popular series, including medical and crime dramas.
-
B.
Joel Tobeck
Joel Tobeck is a New Zealand actor known for his versatile character roles in film and television, including appearances in genre series like "Xena: Warrior Princess" and "Ash vs Evil Dead."
-
C.
Alex Groesbeck
Alex Groesbeck was a Republican politician who served as the 30th governor of Michigan in the early 20th century.
-
D.
Drew Friedman
Drew Friedman is an American illustrator and cartoonist renowned for his highly detailed, often satirical portraits of celebrities and pop culture figures.
-
E.
Eric Ladin
Eric Ladin is an American actor known for his roles in television series such as "Generation Kill," "The Killing," and "Boardwalk Empire."
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9f1f6c8190af7ddac920661bd5 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.