Triple
T10946862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Hart: Let Me Explain |
E258620
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Leslie Small |
E889266
|
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: Leslie Small | Statement: [Kevin Hart: Let Me Explain, director, Leslie Small]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Small Context triple: [Kevin Hart: Let Me Explain, director, Leslie Small]
-
A.
Leslie Small
chosen
Leslie Small is an American film and television director best known for helming numerous stand-up comedy specials, including several for comedian Kevin Hart.
-
B.
Leslie Frost
Leslie Frost was a Canadian politician who served as the 16th Premier of Ontario from 1949 to 1961.
-
C.
Leslie Hunter
Leslie Hunter is one of the central young adult characters in the 1985 coming-of-age film "St. Elmo's Fire," navigating post-college relationships and personal ambitions.
-
D.
Leslie Harter
Leslie Harter is a film producer known for her work in Hollywood and for being married to director Robert Zemeckis.
-
E.
Leslie Fenton
Leslie Fenton was a British-born American actor and film director active in Hollywood during the early to mid-20th century.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770eaaea08190b06e508600d8a305 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d733f7d88190b45df5c155ff5a46 |
completed | April 18, 2026, 12:58 a.m. |
Created at: April 8, 2026, 9:23 p.m.