Triple
T23193357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love |
E579807
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Lyle Workman |
—
|
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: Lyle Workman | Statement: [Love, composer, Lyle Workman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyle Workman Context triple: [Love, composer, Lyle Workman]
-
A.
Lyle Workman
chosen
Lyle Workman is an American guitarist and film composer known for his work on numerous comedy soundtracks and collaborations with artists like Beck and Todd Rundgren.
-
B.
Lyle Lahey
Lyle Lahey was an American editorial cartoonist known for his long-running political cartoons in Wisconsin newspapers.
-
C.
Lyle Bettger
Lyle Bettger was an American character actor best known for his frequent portrayals of suave villains in mid-20th-century Hollywood films and television.
-
D.
Lyle Anderson
Lyle Anderson is a fictional character appearing in the "Kingdom" series.
-
E.
Lyle Leverich
Lyle Leverich was an American theater producer and biographer best known for his work in promoting and chronicling the lives and achievements of major theatrical figures.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd971d08190a132d24094e0c37b |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.