Triple
T15630629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crossing Jordan |
E375800
|
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: [Crossing Jordan, composer, Danny Lux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Lux Context triple: [Crossing Jordan, 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.
Clay Kaytis
Clay Kaytis is an American film director and animator known for his work at Walt Disney Animation Studios and for co-directing the feature film adaptation of Angry Birds.
-
C.
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."
-
D.
Derek Dreyer
Derek Dreyer is a prominent computer scientist known for his work in programming languages, type theory, and formal verification.
-
E.
Alex Groesbeck
Alex Groesbeck was a Republican politician who served as the 30th governor of Michigan in the early 20th century.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f44f0b881909ce36823e4314799 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.