Triple
T10070498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen Teague |
E213610
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
To Leslie
To Leslie is a 2022 American independent drama film about a struggling single mother who wins the lottery and later battles addiction and regret while seeking redemption.
|
E839649
|
NE FINISHED |
How this triple was built (4 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: To Leslie | Statement: [Owen Teague, notableWork, To Leslie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: To Leslie Context triple: [Owen Teague, notableWork, To Leslie]
-
A.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
-
B.
Leslie
Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
-
C.
Leslie
Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
-
D.
Leslie
Leslie is a given name used for people of any gender in English-speaking countries.
-
E.
Leslie
Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: To Leslie Triple: [Owen Teague, notableWork, To Leslie]
Generated description
To Leslie is a 2022 American independent drama film about a struggling single mother who wins the lottery and later battles addiction and regret while seeking redemption.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: To Leslie Target entity description: To Leslie is a 2022 American independent drama film about a struggling single mother who wins the lottery and later battles addiction and regret while seeking redemption.
-
A.
Leslie
Leslie is a small town in Fife, Scotland, situated near Glenrothes and known historically for its textile and papermaking industries.
-
B.
Leslie
Leslie is the middle name of early 20th-century Major League Baseball pitcher Hippo Vaughn, a standout left-hander best known for his time with the Chicago Cubs.
-
C.
Leslie
Leslie is a given name used for people of any gender in English-speaking countries.
-
D.
Leslie
Leslie is a character featured in the work "Seascape."
-
E.
Leslie
Leslie is a Scottish noble family name historically associated with titles such as Lord Newark.
- F. None of above. chosen
Provenance (5 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcffa045c8190a08db0bb74cb006a |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29aa05cc881909f59178e9c6c01ef |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b75634c819088c8ef750b1691d2 |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29f5007f88190b0330d1a8c551905 |
completed | April 5, 2026, 5:43 p.m. |
Created at: March 30, 2026, 8:58 p.m.