Triple
T20702702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Due South |
E508821
|
entity |
| Predicate | themeMusicComposer |
P1952
|
FINISHED |
| Object | Jack Lenz |
—
|
NE NERFINISHED |
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: Jack Lenz | Statement: [Due South, themeMusicComposer, Jack Lenz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Lenz Context triple: [Due South, themeMusicComposer, Jack Lenz]
-
A.
Jack Lenz
chosen
Jack Lenz is a Canadian composer and music producer best known for his work on film and television scores, including the eerie themes for the Goosebumps TV series.
-
B.
Rick Lenz
Rick Lenz is an American actor and writer best known for his film, television, and stage roles from the late 1960s onward.
-
C.
Asher Lenz
Asher Lenz is a composer and music producer known for his work in film and television scores, often collaborating with fellow composer Ari Posner.
-
D.
Ben Lanz
Ben Lanz is an American multi-instrumentalist and composer best known as a touring and recording member of The National and for his work in the experimental rock project LNZNDRF.
-
E.
Daniel Lapaine
Daniel Lapaine is an Australian actor known for his roles in films such as "Muriel's Wedding" and appearances in television series including "Black Mirror."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c18cb9cc819095d0669dca037424 |
completed | April 21, 2026, 12:15 a.m. |
Created at: April 16, 2026, 12:13 p.m.