Triple
T16100813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas Black |
E390613
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Christopher LaSalle |
—
|
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: Christopher LaSalle | Statement: [Lucas Black, characterPortrayed, Christopher LaSalle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher LaSalle Context triple: [Lucas Black, characterPortrayed, Christopher LaSalle]
-
A.
Christopher LaSalle
chosen
Christopher LaSalle is a fictional NCIS Senior Field Agent known for his Southern charm, loyalty, and hands-on investigative style on the television series "NCIS: New Orleans."
-
B.
Richard LaSalle
Richard LaSalle was an American film and television composer known for scoring numerous movies and TV series from the 1950s through the 1980s.
-
C.
Chris Chasse
Chris Chasse is an American guitarist best known for his tenure with the punk rock band Rise Against during the early 2000s.
-
D.
Chris Sussman
Chris Sussman is a British television producer and comedy executive known for overseeing and developing numerous UK sitcoms and comedy series.
-
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 (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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6756948190a7f5ecb375e59701 |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 5 a.m.