Triple
T15712062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The One I Love |
E380861
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object | Justin Lader |
E1193250
|
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: Justin Lader | Statement: [The One I Love, screenplayBy, Justin Lader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Lader Context triple: [The One I Love, screenplayBy, Justin Lader]
-
A.
Justin Lader
chosen
Justin Lader is an American screenwriter best known for his work on character-driven, genre-blending films such as the surreal romantic drama "The One I Love."
-
B.
Joel Murray
Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
-
C.
Tim Healy
Tim Healy is an English actor best known for his comedic and dramatic television roles, particularly in popular British series.
-
D.
Tim Healy
Tim Healy was an Irish nationalist politician, lawyer, and writer who became the first Governor-General of the Irish Free State.
-
E.
Stephen Tobolowsky
Stephen Tobolowsky is an American character actor and storyteller known for his prolific film and television work, including memorable roles in projects like "Groundhog Day" and numerous other mainstream movies and series.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb7c2a6081908e957d39ec056062 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:45 a.m.